Game plan
Strategy
Risks
Generated by Fibi AI
PREP FOR THIS CALL
Close the three open ambiguities before you scope
Second discovery call with Acme — warm but vague, with two threads rolled over from prior calls. Today is about pinning down requirements, not pitching.
WHAT WE NEED TO LEARN
Whether their approval workflow is sequential or parallel, and validate the integration-scope hypothesis with concrete CRM boundaries.
WHAT THEY EXPECT TO GET
To feel understood — clear proof you grasp their workflow and constraints before you propose a scope or price.
THE GAP TO CLOSE
Acme has been vague on data residency across two calls. This is the single most important thing to pin down today — it blocks the brief.
THE GAME PLAN
Primary goal
Close all three open ambiguities and confirm you can scope.
Secondary goal
Strengthen Sarah Chen as champion ahead of CFO involvement.
Information to confirm
Approval-workflow type, data-residency location, integration boundaries.
BENEFITS
Before the meeting
Fibi preps the meeting for you — pulling context from past calls and your sources, so you skip the manual digging through transcripts and notes.
Meeting planner
Fibi builds your talking points from past transcripts, the meeting agenda, and open commitments — so you walk into the client call already prepared, not scrambling.
Auto join calls
Game plan
Strategy
Risks
Generated by Fibi AI
PREP FOR THIS CALL
Close the three open ambiguities before you scope
Second discovery call with Acme — warm but vague, with two threads rolled over from prior calls. Today is about pinning down requirements, not pitching.
WHAT WE NEED TO LEARN
Whether their approval workflow is sequential or parallel, and validate the integration-scope hypothesis with concrete CRM boundaries.
WHAT THEY EXPECT TO GET
To feel understood — clear proof you grasp their workflow and constraints before you propose a scope or price.
THE GAP TO CLOSE
Acme has been vague on data residency across two calls. This is the single most important thing to pin down today — it blocks the brief.
THE GAME PLAN
Primary goal
Close all three open ambiguities and confirm you can scope.
Secondary goal
Strengthen Sarah Chen as champion ahead of CFO involvement.
Information to confirm
Approval-workflow type, data-residency location, integration boundaries.
BENEFITS
Before the meeting
Fibi preps the meeting for you — pulling context from past calls and your sources, so you skip the manual digging through transcripts and notes.
Meeting planner
Fibi builds your talking points from past transcripts, the meeting agenda, and open commitments — so you walk into the client call already prepared, not scrambling.
Auto join calls
BENEFITS
Before the meeting
Fibi preps the meeting for you — pulling context from past calls and your sources, so you skip the manual digging through transcripts and notes.
When?
Schedule
Send now
Date and time
Date
Sep 12, 2026
Time
02:00pm
Calendar meeting
TUE 14
Q2 Sales Review
10:00 – 11:00 AM
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Fibi Invited
Meeting URL
https://zoom.us/j/98762323543210
Meeting participants
SK
Sara Khan
VP Sales · ACME Corp
DC
David Chen
CTO · ACME Corp
Meeting planner
Auto join calls
Schedule a call or connect your calendar, and Fibi joins on its own — no manual invite. You get a reminder in good time to attach the right sources before the call starts.
BENEFITS
Before the meeting
Fibi preps the meeting for you — pulling context from past calls and your sources, so you skip the manual digging through transcripts and notes.
When?
Schedule
Send now
Date and time
Date
Sep 12, 2026
Time
02:00pm
Calendar meeting
TUE 14
Q2 Sales Review
10:00 – 11:00 AM
Fibi Invited
Meeting URL
https://zoom.us/j/98762323543210
Meeting participants
SK
Sara Khan
VP Sales · ACME Corp
DC
David Chen
CTO · ACME Corp
Meeting planner
Auto join calls
Schedule a call or connect your calendar, and Fibi joins on its own — no manual invite. You get a reminder in good time to attach the right sources before the call starts.
BENEFITS
In the call
Ask out loud and get the answer in the room — no tab-switching, no pausing, no "let me get back to you."
Answers the tough questions
When something comes up you can't answer on the spot, let Fibi take it — a spoken, source-cited reply keeps the meeting moving instead of stalling into a follow-up.
Compare & recommend
Recall past meetings
Captures the notes
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View
Fibi Discovery
Joined as AI meeting assistant
Listening
Jenny
Chris
Sarah · Host
Hey Fibi, how does our implementation timeline compare to what we delivered for a rollout this size?
Fibi Sales
Speaking
A deployment at Acme's scale — around 200 seats — has historically gone live in six to eight weeks, with the integration work front-loaded in the first three. The Meridian rollout is the closest match.
Source: Case Studies / Meridian_Rollout.pdf
BENEFITS
In the call
Ask out loud and get the answer in the room — no tab-switching, no pausing, no "let me get back to you."
Answers the tough questions
When something comes up you can't answer on the spot, let Fibi take it — a spoken, source-cited reply keeps the meeting moving instead of stalling into a follow-up.
Compare & recommend
Recall past meetings
Captures the notes
View
Fibi Discovery
Joined as AI meeting assistant
Listening
Jenny
Chris
Sarah · Host
Hey Fibi, how does our implementation timeline compare to what we delivered for a rollout this size?
Fibi Sales
Speaking
A deployment at Acme's scale — around 200 seats — has historically gone live in six to eight weeks, with the integration work front-loaded in the first three. The Meridian rollout is the closest match.
Source: Case Studies / Meridian_Rollout.pdf
Answers the tough questions
When something comes up you can't answer on the spot, let Fibi take it — a spoken, source-cited reply keeps the meeting moving instead of stalling into a follow-up.
Compare & recommend
Recall past meetings
Captures the notes
BENEFITS
In the call
Ask out loud and get the answer in the room — no tab-switching, no pausing, no "let me get back to you."
View
Fibi Discovery
Joined as AI meeting assistant
Listening
Sarah · Host
Hey Fibi, how does our implementation timeline compare to what we delivered for a rollout this size?
Fibi Sales
Speaking
A deployment at Acme's scale — around 200 seats — has historically gone live in six to eight weeks, with the integration work front-loaded in the first three. The Meridian rollout is the closest match.
Source: Case Studies / Meridian_Rollout.pdf
Answers the tough questions
When something comes up you can't answer on the spot, let Fibi take it — a spoken, source-cited reply keeps the meeting moving instead of stalling into a follow-up.
Compare & recommend
Recall past meetings
Captures the notes
BENEFITS
In the call
Ask out loud and get the answer in the room — no tab-switching, no pausing, no "let me get back to you."
View
Fibi Discovery
Joined as AI meeting assistant
Listening
Sarah · Host
Hey Fibi, how does our implementation timeline compare to what we delivered for a rollout this size?
Fibi Sales
Speaking
A deployment at Acme's scale — around 200 seats — has historically gone live in six to eight weeks, with the integration work front-loaded in the first three. The Meridian rollout is the closest match.
Source: Case Studies / Meridian_Rollout.pdf
Discovery call — Nimbus Logistics
Completed
Google Meet
Jun 9, 2026 · 11:00 AM
38 mins
4 participants
Details
Actions
QUICK RECAP
Nimbus is losing after-hours calls and wants to scale support without adding headcount. Strong interest in AI call handling, but budget, timeline, and decision process were not pinned down. A demo is the natural next step.
KEY FACTS MENTIONED
Call volume
~4,000 calls / month
After-hours miss rate
~30% missed
Pricing shared
$1,200 / mo, mid tier
People referenced
Dana Lee, IT manager
SUMMARY
Discussion topics
Nimbus's current call-handling process, the impact of missed after-hours calls, AI call handling capabilities, pricing, and a logistics case study.
Decisions made
- Nimbus wants to move forward with a product demonstration.
- Mid-tier pricing shared as the likely starting point.
Key points
Buying intent is high, but budget ownership, decision process, and timeline were not established. Dana raised a concern about customer reaction to AI that was acknowledged but not fully addressed
Generated by Fibi AI
BENEFITS
After the call
Fibi analyzes your transcript, understands the objections raised, identifies open commitments, generates your action list, and gives its read on your meeting confidence and room to improve.
Agent-shaped summary
A write-up framed by your agent's job, not a generic transcript dump — so the summary reflects what actually mattered in your meeting.
Actions & commitments
Meeting insights
AI coaching
Discovery call — Nimbus Logistics
Completed
Google Meet
Jun 9, 2026 · 11:00 AM
38 mins
4 participants
Details
Actions
QUICK RECAP
Nimbus is losing after-hours calls and wants to scale support without adding headcount. Strong interest in AI call handling, but budget, timeline, and decision process were not pinned down. A demo is the natural next step.
KEY FACTS MENTIONED
Call volume
~4,000 calls / month
After-hours miss rate
~30% missed
Pricing shared
$1,200 / mo, mid tier
People referenced
Dana Lee, IT manager
SUMMARY
Discussion topics
Nimbus's current call-handling process, the impact of missed after-hours calls, AI call handling capabilities, pricing, and a logistics case study.
Decisions made
- Nimbus wants to move forward with a product demonstration.
- Mid-tier pricing shared as the likely starting point.
Key points
Buying intent is high, but budget ownership, decision process, and timeline were not established. Dana raised a concern about customer reaction to AI that was acknowledged but not fully addressed
Generated by Fibi AI
BENEFITS
After the call
Fibi analyzes your transcript, understands the objections raised, identifies open commitments, generates your action list, and gives its read on your meeting confidence and room to improve.
Agent-shaped summary
A write-up framed by your agent's job, not a generic transcript dump — so the summary reflects what actually mattered in your meeting.
Actions & commitments
Meeting insights
AI coaching
BENEFITS
After the call
Fibi analyzes your transcript, understands the objections raised, identifies open commitments, generates your action list, and gives its read on your meeting confidence and room to improve.
Discovery call — Nimbus Logistics
Completed
Google Meet
Jun 9, 2026 · 11:00 AM
38 mins
4 participants
Details
Actions
QUICK RECAP
Nimbus is losing after-hours calls and wants to scale support without adding headcount. Strong interest in AI call handling, but budget, timeline, and decision process were not pinned down. A demo is the natural next step.
KEY FACTS MENTIONED
Call volume
~4,000 calls / month
After-hours miss rate
~30% missed
Pricing shared
$1,200 / mo, mid tier
People referenced
Dana Lee, IT manager
SUMMARY
Discussion topics
Nimbus's current call-handling process, the impact of missed after-hours calls, AI call handling capabilities, pricing, and a logistics case study.
Decisions made
- Nimbus wants to move forward with a product demonstration.
- Mid-tier pricing shared as the likely starting point.
Key points
Buying intent is high, but budget ownership, decision process, and timeline were not established. Dana raised a concern about customer reaction to AI that was acknowledged but not fully addressed
Generated by Fibi AI
Agent-shaped summary
A write-up framed by your agent's job, not a generic transcript dump — so the summary reflects what actually mattered in your meeting.
Actions & commitments
Meeting insights
AI coaching
BENEFITS
After the call
Fibi analyzes your transcript, understands the objections raised, identifies open commitments, generates your action list, and gives its read on your meeting confidence and room to improve.
Discovery call — Nimbus Logistics
Completed
Google Meet
Jun 9, 2026 · 11:00 AM
38 mins
4 participants
Details
Actions
QUICK RECAP
Nimbus is losing after-hours calls and wants to scale support without adding headcount. Strong interest in AI call handling, but budget, timeline, and decision process were not pinned down. A demo is the natural next step.
KEY FACTS MENTIONED
Call volume
~4,000 calls / month
After-hours miss rate
~30% missed
Pricing shared
$1,200 / mo, mid tier
People referenced
Dana Lee, IT manager
SUMMARY
Discussion topics
Nimbus's current call-handling process, the impact of missed after-hours calls, AI call handling capabilities, pricing, and a logistics case study.
Decisions made
- Nimbus wants to move forward with a product demonstration.
- Mid-tier pricing shared as the likely starting point.
Key points
Buying intent is high, but budget ownership, decision process, and timeline were not established. Dana raised a concern about customer reaction to AI that was acknowledged but not fully addressed
Generated by Fibi AI
Agent-shaped summary
A write-up framed by your agent's job, not a generic transcript dump — so the summary reflects what actually mattered in your meeting.
Actions & commitments
Meeting insights
AI coaching
BENEFITS
Intelligence that compounds
Every call adds to a memory only you own — so Fibi spots the patterns across your meetings and customers that no single call could show.
Customer intelligence
A shared workspace view of where each customer stands — open commitments, risks, and objections, synthesized across every meeting your team has had with them — so no one's caught off guard on the next call.
People insights
Ask Fibi
AC
Acme Corp
acme.com · 5 meetings over 3 months · 4 contacts
Synthesized from 5 meetings across
Fibi Sales
Fibi Discovery
Fibi Advisor
WHERE WE STAND
Acme is in late-stage evaluation. Discovery confirmed a real pain (AMs losing client context) and a budget range of $80–120K/yr. The Sales track surfaced annual prepay as the main pricing objection. Sarah Chen is the champion; David Lim (CTO) is running legal review (DPA pending). CFO is named as approver but has never joined a call. Decision targeted by end of Q2.
OPEN COMMITMENTS
YOU COMMITTED TO
Send revised proposal with annual prepay discount
Sarah · Jun 11
Share implementation timeline doc
Sarah · Jun 11
THEY COMMITTED TO
Complete DPA legal review
Dana · Jun 09
Confirm Q3 budget with CFO
Dana · Jun 09
Introduce CFO to conversation
Dana · Jun 09
KEY FACTS MENTIONED
Call volume
~4,000 calls / month
After-hours miss rate
~30% missed
Pricing shared
$1,200 / mo, mid tier
People referenced
Dana Lee, IT manager
RISK SIGNALS
Pricing pushback in 3 of last 3 calls
Trending up — likely the real blocker.
12 days since last meeting
Average gap was 6 days.
CFO never joined a call
Mentioned but absent for 4 weeks.
BENEFITS
Intelligence that compounds
Every call adds to a memory only you own — so Fibi spots the patterns across your meetings and customers that no single call could show.
Customer intelligence
A shared workspace view of where each customer stands — open commitments, risks, and objections, synthesized across every meeting your team has had with them — so no one's caught off guard on the next call.
People insights
Ask Fibi
AC
Acme Corp
acme.com · 5 meetings over 3 months · 4 contacts
Synthesized from 5 meetings across
Fibi Sales
Fibi Discovery
Fibi Advisor
WHERE WE STAND
Acme is in late-stage evaluation. Discovery confirmed a real pain (AMs losing client context) and a budget range of $80–120K/yr. The Sales track surfaced annual prepay as the main pricing objection. Sarah Chen is the champion; David Lim (CTO) is running legal review (DPA pending). CFO is named as approver but has never joined a call. Decision targeted by end of Q2.
OPEN COMMITMENTS
YOU COMMITTED TO
Send revised proposal with annual prepay discount
Sarah · Jun 11
Share implementation timeline doc
Sarah · Jun 11
THEY COMMITTED TO
Complete DPA legal review
Dana · Jun 09
Confirm Q3 budget with CFO
Dana · Jun 09
Introduce CFO to conversation
Dana · Jun 09
KEY FACTS MENTIONED
Call volume
~4,000 calls / month
After-hours miss rate
~30% missed
Pricing shared
$1,200 / mo, mid tier
People referenced
Dana Lee, IT manager
RISK SIGNALS
Pricing pushback in 3 of last 3 calls
Trending up — likely the real blocker.
12 days since last meeting
Average gap was 6 days.
CFO never joined a call
Mentioned but absent for 4 weeks.
Customer intelligence
A shared workspace view of where each customer stands — open commitments, risks, and objections, synthesized across every meeting your team has had with them — so no one's caught off guard on the next call.
People insights
Ask Fibi
BENEFITS
Intelligence that compounds
Every call adds to a memory only you own — so Fibi spots the patterns across your meetings and customers that no single call could show.
AC
Acme Corp
acme.com · 5 meetings over 3 months · 4 contacts
Synthesized from 5 meetings across
Fibi Sales
Fibi Discovery
Fibi Advisor
WHERE WE STAND
Acme is in late-stage evaluation. Discovery confirmed a real pain (AMs losing client context) and a budget range of $80–120K/yr. The Sales track surfaced annual prepay as the main pricing objection. Sarah Chen is the champion; David Lim (CTO) is running legal review (DPA pending). CFO is named as approver but has never joined a call. Decision targeted by end of Q2.
OPEN COMMITMENTS
YOU COMMITTED TO
Send revised proposal with annual prepay discount
Sarah · Jun 11
Share implementation timeline doc
Sarah · Jun 11
THEY COMMITTED TO
Complete DPA legal review
Dana · Jun 09
Confirm Q3 budget with CFO
Dana · Jun 09
Introduce CFO to conversation
Dana · Jun 09
KEY FACTS MENTIONED
Call volume
~4,000 calls / month
After-hours miss rate
~30% missed
Pricing shared
$1,200 / mo, mid tier
People referenced
Dana Lee, IT manager
RISK SIGNALS
Pricing pushback in 3 of last 3 calls
Trending up — likely the real blocker.
12 days since last meeting
Average gap was 6 days.
CFO never joined a call
Mentioned but absent for 4 weeks.
Customer intelligence
A shared workspace view of where each customer stands — open commitments, risks, and objections, synthesized across every meeting your team has had with them — so no one's caught off guard on the next call.
People insights
Ask Fibi
BENEFITS
Intelligence that compounds
Every call adds to a memory only you own — so Fibi spots the patterns across your meetings and customers that no single call could show.
AC
Acme Corp
acme.com · 5 meetings over 3 months · 4 contacts
Synthesized from 5 meetings across
Fibi Sales
Fibi Discovery
Fibi Advisor
WHERE WE STAND
Acme is in late-stage evaluation. Discovery confirmed a real pain (AMs losing client context) and a budget range of $80–120K/yr. The Sales track surfaced annual prepay as the main pricing objection. Sarah Chen is the champion; David Lim (CTO) is running legal review (DPA pending). CFO is named as approver but has never joined a call. Decision targeted by end of Q2.
OPEN COMMITMENTS
YOU COMMITTED TO
Send revised proposal with annual prepay discount
Sarah · Jun 11
Share implementation timeline doc
Sarah · Jun 11
THEY COMMITTED TO
Complete DPA legal review
Dana · Jun 09
Confirm Q3 budget with CFO
Dana · Jun 09
Introduce CFO to conversation
Dana · Jun 09
KEY FACTS MENTIONED
Call volume
~4,000 calls / month
After-hours miss rate
~30% missed
Pricing shared
$1,200 / mo, mid tier
People referenced
Dana Lee, IT manager
RISK SIGNALS
Pricing pushback in 3 of last 3 calls
Trending up — likely the real blocker.
12 days since last meeting
Average gap was 6 days.
CFO never joined a call
Mentioned but absent for 4 weeks.
KNOWLEDGE SOURCES
Answers from your stack, not the internet
Fibi plugs into Notion, Google Drive, OneDrive, and your uploads — so every answer is rooted in your own data, not generic AI.
KNOWLEDGE SOURCES
Answers from your stack, not the internet
Fibi plugs into Notion, Google Drive, OneDrive, and your uploads — so every answer is rooted in your own data, not generic AI.
KNOWLEDGE SOURCES
Answers from your stack, not the internet
Fibi plugs into Notion, Google Drive, OneDrive, and your uploads — so every answer is rooted in your own data, not generic AI.
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Kiyara J.
Project Manager
Lars E.
Product Designer
Sofia M.
Marketing Manager
James W.
Sales Director
Daniel O.
Financial Advisor
Aisha R.
Product Manager
David B.
UX Researcher
Hannah K.
HR Manager
Liam O.
Business Development Manager
Naomi C.
Content Strategist
Ronald J.
Customer Success Manager
Grace A.
Educational Consultant
Patrick M.
AV Engineer
Trusted by more than
Trusted by more than
2k professionals
2k professionals
"Fibi answered a client's pricing question mid-pitch. We closed the deal on the spot."
— Account Manager, SaaS Company
Pay for specialists, not just for transcript recordings
A specialist for every meeting — supercharging your calls and your outcomes, live and in the room.
Pay annually
Save 20%
Pay monthly
Basic
For anyone who wants to try out Fibi
$0
forever
Upgrade possible
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What's included
Support for Zoom, Google Meet and MS Teams
Live Q&A with Fibi agents
Real-time notes & transcription
AI summary + action items
120 mins / month
Up to 30 min per meeting
Solo
For individual consultants and freelancers
$34
$27
/seat/month
Billed annually
· save $84/yr
Everything in Free, plus
Schedule Fibi joining
Calendar integration — auto-detect meetings
Post-meeting analysis & AI insights
Notion integration
900 meeting minutes / month
60 mins meeting duration support
MOST POPULAR
Team
For small agencies & sales teams
$55
$44
/seat/month
Billed annually
· save $132/yr
Everything in Solo, plus
Shared team knowledge workspace
Unlimited knowledge integrations
Meeting performance insights
Customer intelligence
Admin / Member roles + admin dashboard
25 meeting hours / month · up to 90 min each
Business
For mid-sized SMEs & pro services
$86
$69
/seat/month
Billed annually
· save $204/yr
Everything in Team, plus
Unlimited file uploads
All Fibi agents
Meeting and team analytics
Advanced Fibi configuration
Team analytics — member usage & activity
2400 mins / month · 120 mins meeting duration support
Need more seats or custom terms?
Pay for specialists, not just for transcript recordings
A specialist for every meeting — supercharging your calls and your outcomes, live and in the room.
Pay annually
Save 20%
Pay monthly
Basic
For anyone who wants to try out Fibi
$0
forever
Upgrade possible
What's included
Support for Zoom, Google Meet and MS Teams
Live Q&A with Fibi agents
Real-time notes & transcription
AI summary + action items
120 mins / month
Up to 30 min per meeting
Solo
For individual consultants and freelancers
$34
$27
/seat/month
Billed annually
· save $84/yr
Everything in Free, plus
Schedule Fibi joining
Calendar integration — auto-detect meetings
Post-meeting analysis & AI insights
Notion integration
900 meeting minutes / month
60 mins meeting duration support
MOST POPULAR
Team
For small agencies & sales teams
$55
$44
/seat/month
Billed annually
· save $132/yr
Everything in Solo, plus
Shared team knowledge workspace
Unlimited knowledge integrations
Meeting performance insights
Customer intelligence
Admin / Member roles + admin dashboard
25 meeting hours / month · up to 90 min each
Business
For mid-sized SMEs & pro services
$86
$69
/seat/month
Billed annually
· save $204/yr
Everything in Team, plus
Unlimited file uploads
All Fibi agents
Meeting and team analytics
Advanced Fibi configuration
Team analytics — member usage & activity
2400 mins / month · 120 mins meeting duration support
Need more seats or custom terms?
Pay for specialists, not just for transcript recordings
A specialist for every meeting — supercharging your calls and your outcomes, live and in the room.
Pay annually
Save 20%
Pay monthly
Basic
For anyone who wants to try out Fibi
$0
forever
Upgrade possible
What's included
Support for Zoom, Google Meet and MS Teams
Live Q&A with Fibi agents
Real-time notes & transcription
AI summary + action items
120 mins / month
Up to 30 min per meeting
Solo
For individual consultants and freelancers
$34
$27
/seat/month
Billed annually
· save $84/yr
Everything in Free, plus
Schedule Fibi joining
Calendar integration — auto-detect meetings
Post-meeting analysis & AI insights
Notion integration
900 meeting minutes / month
60 mins meeting duration support
MOST POPULAR
Team
For small agencies & sales teams
$55
$44
/seat/month
Billed annually
· save $132/yr
Everything in Solo, plus
Shared team knowledge workspace
Unlimited knowledge integrations
Meeting performance insights
Customer intelligence
Admin / Member roles + admin dashboard
25 meeting hours / month · up to 90 min each
Business
For mid-sized SMEs & pro services
$86
$69
/seat/month
Billed annually
· save $204/yr
Everything in Team, plus
Unlimited file uploads
All Fibi agents
Meeting and team analytics
Advanced Fibi configuration
Team analytics — member usage & activity
2400 mins / month · 120 mins meeting duration support
Need more seats or custom terms?