Specification layer for agentic AI · enterprises & FDEs

Models don't fail. Unwritten requirements do.

Specificity works the way your best forward-deployed engineer works — it reconstructs how a process actually runs, forces every ambiguity onto the record, and gets that record signed by SME, engineering, risk and IT before a single agent is built.

See how it works
Any process, any industryDeployed in your VPC or regionThe record is yours to keep

Precord · claims-adjudication · v0.42

in review
DecisionReserve amount above the schedule limittagged deterministic — executable rule, not a model calldeterministic
SourceUnderwriting SOP §4.2 · 18 months of event logsreconciled: 0.94 coverage against observed runspass
ExceptionCatastrophe-coded claims route to a named adjusterelicited from two senior adjusters — written nowhereHIL
Eval412 golden cases · replay accuracy 0.81target 0.90 — promotion blocked until metblock
signed: SME · AI eng · IT — pending: riskimmutable · versioned
Built forForward-deployed engineering teams·AI platform & transformation owners·Systems integrators·Regulated operations

Why the AI demos did not move into production?

All twelve →

The gap is not intelligence. It is specificity.

the whole argument

What the model knows

  • the public internet
  • general reasoning
  • generic best practice
the specificity gap

What the process needs

  • your data, as it really is
  • the exceptions nobody wrote down
  • who may decide what
  • the cost of being wrong

Fig 1 — Pilots die in the middle column. It closes with specification work, not with prompting.

The same disparate reality becomes one of two things.

What you actually haveSOPs · spreadsheets
event logs · tickets
four systems of record
undocumented exceptions
knowledge in people's heads
Straight to agentswhere most pilots go
raw sourcesprompts & glue codeagentspilot demo
outcomeDemos well. Never ships.

The engineer's understanding stays in their head. Exceptions nobody wrote down go unhandled, deterministic rules get guessed by a model, and there is no artifact to review, evaluate or inherit — only a harness.

Specified firstwhat Specificity forces
raw sourcesPrecord · signedagentsevals & gates
outcomeSurvives production.

The same inputs become a specification that states its decisions, its sources and its evals — agreed by SME, engineering, risk and IT before code exists, and measured against something real.

Fig 2 — Same data. Same models. The difference is whether a validated record existed before the build.

0promotions past a failed gate
100%of records carry a source link
3eval levels — step, workflow, system
1artifact you inherit

Bring one process you could not get into production.

We reconstruct it, tell you plainly whether it is feasible, and you keep the record either way — even if the answer is no.

The technologyOne process. two weeks. the solution design (precord) is yours