Offering

Build production AI around outcomes that can be inspected.

Graph42 designs and builds agent workflows, internal copilots, decision-support systems, governed automation, and AI-enabled product capabilities. The work begins with one production use case, a written delivery path, and evidence requirements defined before the build.

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What we build

Production capabilities, not isolated demonstrations.

The category matters less than the operating path around it. Each capability must fit the real identity, data, product, workflow, control, support, and release environment it will enter.

Agent workflows

Bounded sequences that use approved tools and data with explicit decision points, human review, exception handling, and operating ownership.

Internal copilots

Context-specific assistance inside existing workflows with governed sources, citations where appropriate, escalation paths, and usage controls.

Decision-support systems

Capabilities that assemble evidence and recommendations while preserving criteria, source lineage, uncertainty, and human authority.

Governed automation

Automation for bounded tasks with named permissions, approval points, rollback behavior, monitoring, and audit requirements.

AI-enabled product capabilities

User-facing features designed within product, accessibility, privacy, quality, support, and release constraints rather than as isolated demonstrations.

The problem

Delivery activity can look complete before the outcome is real.

AI-assisted delivery can produce code, plans, evaluations, documentation, and confident status reports faster than a team can verify them. A successful run is useful evidence about the run. It is not evidence that the intended user can complete the target task in the deployed environment.

The gap becomes expensive when local demonstrations, generated reports, and passing build steps are treated as substitutes for identity, integration, behavior, operations, and outcome verification.

What activity can report

The workflow executed
The evaluation script passed
The build and deployment completed
The agent produced the requested artifact

What the outcome must prove

The intended user can reach and use the capability
The deployed behavior meets the written threshold
Controls, escalation, monitoring, and rollback work
The named operational result can be inspected

Delivery system

One evidence chain from intended outcome to deployed verification.

Frame → Build → Gate → Deploy → Verify

Each stage produces an inspectable record. Security, governance, cost accountability, support, and rollback operate across the full path rather than appearing as release-day additions.

01
Frame
Define the deployed outcome
Name the user, task, business condition, operating constraint, and evidence source that will determine whether the capability works.
Outcome contract
02
Build
Create a working production slice
Build the smallest end-to-end path that exercises the real identity, data, model, tool, interface, and support boundaries.
Working slice + trace
03
Gate
Test behavior before release
Run versioned evaluations and control checks against written acceptance thresholds, negative cases, and escalation behavior.
Gate ledger
04
Deploy
Release through controlled change
Deploy to the intended environment with monitoring, ownership, cost visibility, support, rollback, and release evidence attached.
Release record
05
Verify
Inspect the outcome in use
Check the deployed capability against the agreed operational record rather than accepting build logs, generated summaries, or local demonstrations as proof.
Outcome verification

Cross-cutting operating controls

Evidence · Security · Governance · Cost accountability · Support · Rollback

Quality gates

Write the acceptance conditions before the work can satisfy them.

A gate names the condition, the evidence required, the accountable reviewer, and the decision it controls. Thresholds may change when new information appears, but the change and its rationale remain visible.

GateQuestionRecord

01Outcome gate

Is the intended user or business result written in observable terms?

Acceptance condition, evidence source, owner, and decision threshold

02Behavior gate

Does the capability meet its versioned evaluation and negative-test thresholds?

Evaluation set, configuration version, results, exceptions, and reviewer

03Risk gate

Are data handling, permissions, refusal, escalation, and human authority defined?

Control decisions, test evidence, unresolved risks, and accountable owner

04Operating gate

Can the capability be monitored, supported, costed, changed, and rolled back?

Observability, support, cost attribution, change path, and rollback evidence

05Deployment gate

Has the intended environment been checked directly after release?

Production route, identity, integration, smoke test, and release record

Operating controls

The capability is only one part of the delivered system.

Production use introduces versioning, source lineage, human authority, monitoring, support, cost, change, and rollback decisions. The exact controls depend on the use case and client environment. They are designed with the capability rather than left for a later operating team to reconstruct.

Model, prompt, tool, retrieval, and policy configurations recorded by version
Evaluation sets and acceptance thresholds controlled as delivery artifacts
Source and data lineage retained where the use case requires traceability
Human review, escalation, and decision authority written into the operating path
Observability, cost attribution, support ownership, and rollback defined before release
Exceptions, reverts, and unresolved risks attached to the release record

Deployed verification

Check the environment the user actually receives.

Verification moves from component behavior to the deployed operating path. The evidence source may be a direct observation, workflow record, operational measure, audit record, or agreed combination. It is chosen because it can answer the decision, not because it is easy to generate.

Resolve the release

Identify the exact code, model, prompt, tools, data, policies, evaluation set, and environment under review.

Check the path

Verify identity, permissions, integrations, controls, monitoring, support, and rollback in the target environment.

Observe the task

Inspect whether the named user can complete the intended task under the agreed operating conditions.

Record the decision

Publish the evidence, reviewer, exceptions, release decision, and next operating action.

Inspectable evidence

The delivery record travels with the capability.

The evidence pack connects the outcome contract, version record, gates, exceptions, release evidence, and deployed verification. It is not a claim that the capability will never change or fail. It provides the record needed to understand what was approved, what was observed, and what must happen next.

Inspect the delivery evidence pack →

ILLUSTRATIVE EVIDENCE PACK

01Outcome contract

02Version record

03Gate ledger

04Exception record

05Release evidence

06Outcome verification

When it fits

Conditions that make this work worth doing

A priority AI use case has an accountable owner and a real operating environment
A demonstration or prototype needs to become a supported production capability
The organization needs agents, copilots, decision support, automation, or AI-enabled product features
Security, privacy, architecture, product, and delivery teams need shared acceptance criteria
Completion is currently reported through build activity rather than deployed-outcome evidence
The capability needs a controlled path for evaluation, release, support, exception handling, and rollback

If there is no accountable owner, no target environment, or no way to observe the intended outcome, the work is not ready for production delivery and we will say so.

Engagement

Start with one production use case and its delivery path.

The initial working session identifies the user, task, outcome, environment, constraints, evidence source, and accountable owners. The resulting scope defines the first working slice and the gates that control its release.

What the engagement includes

One production use case and a written outcome contract
Current-state architecture, data, identity, workflow, and operating-constraint review
A working end-to-end slice through the intended delivery path
Versioned evaluation set, acceptance thresholds, and negative cases
Identity, data, model, tool, policy, observability, and support decisions
Controlled deployment with release and rollback evidence
Deployed-outcome verification against the agreed evidence source
Delivery evidence pack with gates, exceptions, and decision record

What the client provides

An accountable product or business owner and a named decision owner
Access to the intended users, workflow, data owners, and subject-matter experts
Architecture, security, privacy, legal, delivery, and operations representatives as required
The target environment, approved access path, and relevant policies or constraints
A defined way to observe the intended outcome after deployment

Decision at the end

Release, continue with a bounded next slice, revise the architecture or controls, return to discovery, or stop. Pricing is provided after scope, evidence, environment, and operating responsibilities are understood.

Book a working session Inspect the evidence pack