Why Figbolt is different
What this is, what it does that a traditional CRM does not, and where the older tools are still the better choice.
Salesforce and HubSpot are filing cabinets. Somebody has to put the paper in.
Figbolt reads the email, meetings and support tickets you already have, and works out the customer record from them. The rep does not type it in. That one change is what everything else on this page follows from.
The problem with the old way
The CRM is only as good as what people type
A deal is marked 'Proposal' because someone remembered to change a dropdown. If they were busy, the pipeline is wrong — and nobody knows which parts.
Updating it is not selling
Logging a call, writing the note, setting the follow-up, moving the stage. It is four screens for something that took ten minutes to do.
It is built for the manager
The forecast report is excellent. The rep filling it in gets very little back, which is exactly why they stop filling it in.
Side by side
| Salesforce / HubSpot | Figbolt | |
|---|---|---|
| Who enters the data | The rep, by hand, after the fact | Derived from email, meetings and tickets automatically |
| What the AI does | Summarises and drafts text for you to copy | Proposes the actual CRM action, ready to approve |
| Logging a call | Open record, pick type, write note, save, set follow-up | Type it in the command bar, or let the transcript do it |
| Trusting an answer | A number in a report; tracing it is your job | Every claim links to the email or transcript behind it |
| Getting set up | Often an implementation partner and a few months | Connect a mailbox; the history builds the starting picture |
| Other agents and tools | An API, and usually a paid tier to reach it | MCP server and REST API with the same permission checks |
The five things that actually differ
Nobody fills it in
Connect a mailbox and a calendar. Figbolt resolves each thread to an account, then pulls out the things that matter: what you promised, what they objected to, what they asked for, who is actually involved. Those become real records you can search and report on.
The account page is built from interactions, not from forms someone completed.
Everyday jobs take 3 clicks or fewer
Logging a call, setting a follow-up, moving a deal, adding an account. 16 common jobs are measured against a hard ceiling, and 2 of them are a single step from anywhere via the command bar.
Average 2.1 steps, worst case 3. Enforced by a test — the build fails if a job gets slower.
Answers come with their evidence
Ask 'why is this deal stalled' and you get an answer that cites the specific email or transcript line behind every claim. If the evidence is thin, Bolt says so instead of producing a confident guess.
Citations are checked against what was actually retrieved, so it cannot cite a record it never read.
It acts, but it asks first
Bolt can draft the follow-up, create the task and schedule the next meeting. Anything that changes data or reaches a customer is held for your approval, and you see the exact thing that will happen before you say yes.
The payload you approve is the payload that runs — the model is not consulted again in between.
Other software can use it
Figbolt exposes its own tools over MCP and a REST API, with the same permission checks a person gets. Your team's other agents can read the CRM and propose changes without anyone building a one-off integration.
Same five gates for an external agent as for the built-in one.
It learns from being corrected
Every time someone edits a draft before approving it, or rejects a suggestion, that becomes a test case. The system is measured against the cases humans already fixed, so a change that breaks something previously correct shows up immediately.
Visible on the Learning tab, including when the score goes down.
What that looks like after one customer call
- 1The call happens on your normal calendar invite — Figbolt scheduled it, so it already knows which deal it belongs to.
- 2The recording comes back and is transcribed. Each line is attributed to a speaker, and anyone not recognised as a colleague is treated as the customer.
- 3Extraction reads the transcript and pulls out the summary, the decisions, the objections, the things they asked for, and the next steps that were agreed.
- 4Those next steps become proposed actions: log the summary on the account, create a task for each commitment, draft the follow-up email.
- 5They land in your approval queue showing exactly what will change. You approve the ones that are right, edit the ones that are close, and reject the rest.
- 6What you edited or rejected is recorded as a correction, and becomes a test case the system is measured against from then on.
Total typing by the rep: none. Total decisions by the rep: which of the proposed actions to approve.
Where Salesforce and HubSpot are still the better choice
These are real, and worth saying out loud
- Breadth of ecosystem. Salesforce has thousands of certified apps and a very large consultant market. Figbolt does not, and will not for a long time.
- Deep customisation. If your business needs heavily bespoke objects, validation rules and approval hierarchies modelled in the CRM itself, the incumbents are built for exactly that.
- Adjacent products. Marketing automation, CPQ, field service and a full support desk are separate, mature products in those suites. Figbolt is focused on the sales record.
- Track record. They have decades of enterprise deployments, compliance certifications and procurement familiarity behind them. That is a legitimate thing for a buyer to weigh.
- Automatic capture needs access. Figbolt is only as good as what it is allowed to read. A team that cannot connect mail or calendar loses most of the advantage.
The short version: if your problem is that you need a hundred teams on one heavily customised system, buy the incumbent. If your problem is that your CRM is out of date because nobody has time to update it, that is the problem Figbolt is built for.