Onboarding your AI workforce
Your AI workforce needs onboarding too.
AI agents are joining real teams. Like any new hire, they need to be shown how the company works, supervised on real tasks, corrected when they get it wrong, and trusted with more over time. Figment is the company brain that makes that possible.
The shift happening now
From doing the work to running a team that includes AI.
For most of work history, the only teammates were people. Now there are agents in the mix. Your job is shifting from doing every task yourself to setting the brief, reviewing the work, and showing the team how you want it done — humans and agents together.
Why most AI hires fail
AI agents need more than access to company information.
Giving an agent the handbook is not the same as showing it how the company works. The problem is not just what it can find. It is whether people can see the decision-making process behind the work, correct mistakes, and make the next attempt better.
- Knowledge is fragmented. The real workflow already lives across tools, documents, old decisions, current rules, and the people doing the job every day. Figment lets you plug those sources in so AI can use them too.
- The answer hides the decision-making process. A polished output is not enough. Teams need to inspect the request, sources, assumptions, decisions, and actions behind it.
- Corrections do not improve the next run. You take the time to add feedback and corrections. Tomorrow the same mistake comes back.
- Responsibility stays with the human. Without a way to inspect, correct, and improve the work, you stay stuck doing it yourself.
What Figment is
A company brain so your AI hires can actually learn the job.
Figment gives AI agents the things any new teammate needs to be useful: the way your company works, the rules in force right now, the history of similar jobs, and a way to be corrected when they get it wrong. The corrections stick. Tomorrow the work is better.
Onboard, supervise, correct, improve — for an AI workforce.
How it works
Six steps from "new starter" to "trusted teammate".
Think of it as the training process you'd run for a real new starter, just made repeatable so it actually happens for every AI on every job.
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A messy job lands on the desk. A customer email, an internal request, a decision someone needs made. Half the context is missing — same as it ever was.
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The AI gets the operational context. You teach the AI how this kind of job is usually done: the current rules, similar past work, and what's been agreed before.
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See the AI's working. You see what the agent looked at, what it assumed, and which rules it followed. No more "trust me, the AI said so".
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A human supervises and corrects. You read the brief and the working, then approve, tweak, or send it back — the same supervision you'd give a junior colleague.
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The lesson is kept, the history is kept too. Your correction becomes the new way to do that job. The old version isn't deleted — it stays as the record of what happened, so you can always look back.
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Next time is better. The next request of this kind starts further along. The team gets quicker and more accurate, and you've spent your time teaching once instead of fixing forever.
Why Figment is different
Most AI tools help agents find information. Figment helps you teach them the job.
Most AI tools
Help the agent find documents.
Hand back an answer.
Forget what you said yesterday.
Figment
Helps you manage what the agent does with what it finds.
Keeps the AI's work, your feedback, and the correction together.
Turns advice for future runs into something the next job can use.
That's the difference between handing a new starter a folder of documents and teaching them how good work gets done.
Where this lands first
Operational workflows where context matters.
Figment is useful where work depends on rules, approvals, handoffs, evidence, and correction. Start with one repeatable workflow, teach the agent how the work is really done, and let the pattern spread from there.
About
Built by someone who has lived the problem.
Figment was founded by Steve Hammond — engineer, systems builder, and four-year AI practitioner. Steve brings 20+ years of taking complex work from concept through to production, close to the teams, handoffs, and decisions that make real operations work.
"Hours, sometimes days of work was refined to literally minutes."
"Steve can think outside of the box yet tackle activities and projects in a logical and methodical manner."
"His work is both fast and accurate. Always of high quality."
"The rare blend between technical, soft, leading and business skills."
"Steve loves a challenge and getting stuck in."
Figment comes from that same pattern: taking complicated work, making the steps visible, and turning the repeatable parts into a system people can trust.
Get in touch
Book a call.
Bring one workflow where you think AI could help. Together we will look at what an AI agent would need before you could trust it with real work.
Book an AI Readiness Call