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Enterprise memory

The company brain, for teams and AI agents.

Every decision, warning, and workaround your experts carry, kept and answering long after they leave. Chat with it. Call it.

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  • Human-approved answers
  • Evidence you can open
  • Admits when it does not know

Built for industries that cannot afford to forget

Financial servicesHealthcareManufacturingEnergy & utilitiesProfessional servicesPublic sectorInsuranceTechnologyFinancial servicesHealthcareManufacturingEnergy & utilitiesProfessional servicesPublic sectorInsuranceTechnology
See it for yourself

See it work in two minutes.

Watch a departing expert's know-how become answers the next person can put to work.

Your number

Put a number on forgetting.

Your headcount, your attrition, your assumptions. Math your CFO can check.

150
12%
$90,000

Salary plus overhead, in USD

How knowledge-heavy are these roles?

Some sole owners, moderate ramp

70%

The share of at-risk context you believe your team could keep with WorkFera. This is your assumption. Set it where you could defend it to your CFO.

Estimated cost of relearning per year

$405,000

Expected departures a year
18
Lost context per departure
$22,500
Kept with WorkFera$283,500
70% kept searchable for the teamStill lost: $121,500
See it on your own team

An illustrative model, not a quote or a guarantee. Every assumption is adjustable, and the math is disclosed in full.

How this is calculated +
  • Expected departures = team size x annual attrition.
  • Lost context per departure = annual cost per person x a knowledge factor (15%, 25%, or 40% by role type). It approximates the successor's ramp drag, rework, and repeated mistakes.
  • Value at risk per year = departures x lost context per departure.
  • Kept with WorkFera = value at risk x the capture rate you set above.
Chat with Fera

Chat with the expert who already left.

Three years of context does not have to leave with its owner. Ask the question you would have asked them, and get an answer you can check, with the receipts attached.

Brain drain
Tribal knowledge
Key-person risk
Repeated mistakes
Slow onboarding
Lost context
Fera, the WorkFera AI assistant
Company brain

Fera · Your company’s brain

Grounded in your company's own knowledge

Call

Why did we move billing off the old system?

High confidence

The old system double-charged customers who changed plans mid-month. The platform team moved billing to the new one last quarter. The migration checklist and the two known problem cases are linked below.

Answered by Marcus T. · Platform[1]Decision log · Billing migrationDecision 18 · approved by Marcus T.[2]Migration checklistKnown problem cases · steps 7–9

Start a chat

Every answer is cited and reviewed before it’s trusted.
Fair questions

You should be skeptical. Good.

Does this replace our documentation?

No. Your documents show what happened. WorkFera keeps the missing why, then links every answer back to the sources you already trust.

Is this just a chatbot that makes things up?

No. Every answer names the person behind it and cites the evidence. If approved knowledge is missing, Fera returns no answer and flags the gap.

How much work is it for my team?

A few focused sessions in Chat or Call, not a weekend of writing. People answer what only they know while WorkFera keeps their place between sessions.

Can our AI agents use it?

Yes. Agents chat with the same brain your people do, under the same permissions, and get the same sourced answers.

Fera

Name the person you can't lose.

Tell us the role, project, or system keeping you up at night, and we will build the walkthrough around it.

Request a demoTalk to our team

No canned tour. Just your scenario and a clear next step.