Business Policy v2Approved operating rule
CurrentPrincipal-led delivery
AI solutions that work.Your partner for AI transformation.
Most enterprise AI stalls because it doesn't understand your business. We build systems grounded in your approved data, proven against evidence gates, and handed to your team to run.
Runs in your cloud tenancy Your identity provider, your RBAC Source and runbooks at handoff
The Context Gap
Generic AI knows what happened. Enterprise-grade AI understands why.
A technically accurate AI output is a liability if it lacks the approved event history, decision frameworks, and operational reality behind your data. Off-the-shelf LLMs cannot access your business context—we engineer systems that do.
Data-state comparison
Unstructured GovernedFrom disconnected records to governed business context
01 · Generic AI inputDisconnected data
{"policy":"unknown",
"source":null}if (event) {
decide();
}ValidateAuthorize
02 · Enterprise AI contextApproved decision record
Governed context packageVersioned · source-authoritative · permission-aware
Verified Event LogSource-linked decision history
VerifiedAccess Control: ApprovedRole and purpose checked
AllowedOne question, two systems“Why did August revenue fall 12%?”
“Revenue fell 12% in August, driven by lower recurring revenue.”
Accurate, measurable, and unactionable. It restates the number without reaching the cause.
“Four enterprise accounts churned at renewal—all on contracts affected by the August 1 policy change.”
Resolved against approved events, access controls, and operating history, then validated before it ever reaches a decision-maker.
Illustrative example. We don't publish client data—engagement evidence is reviewed under NDA.
Enterprise-grade rigor
Four evidence gates. Any one blocks the release.
Every release is checked against business, technical, governance, and operational evidence before it runs in your environment. A gap in any one domain stops the go-live—including when the gap is ours.
Release gate
Illustrative dataEnterprise Evidence Scorecard
BusinessAcceptance definedTechnicalEval set scoredGovernanceBoundaries testedOperationsRecovery prepared
Release controlRequired evidenceExample state
Answer lineageEvery answer traced back to the approved record it came from Pass
Role enforcementAllowed and denied role paths covered by boundary tests Pass
Domain eval setJudge scoring across real cases, threshold agreed before build2 cases below threshold — release held Blocked
Operational recoveryRequest tracing, incident runbook, and rollback evidence attached Pending
One blocked control holds the release. There is no partial go-live.
Approved sourcePolicy boundaryEvaluated responseRelease record
- Layer 1Workflow ROI
Business Evidence
A named workflow owner, a baseline measured before we build, and acceptance criteria written by your domain experts rather than by us.
- Named workflow owner
- Measured baseline
- Acceptance criteria
- Layer 2Evaluation Scorecard
Technical Validation
A domain eval set built from your real cases, automated LLM-as-judge scoring on every change, and a recorded pass threshold that gates release.
- Domain eval set
- LLM-as-judge scoring
- Recorded threshold
- Layer 3Permission Matrix
Security & Governance
Retrieval scoped to authoritative sources, your identity provider and role model enforced at query time, and lineage from every answer back to the record it came from.
- Source-scoped retrieval
- Role enforcement at query time
- Answer-to-record lineage
- Layer 4Incident Log
Operational Readiness
Traced requests, cost and latency budgets, incident runbooks, and a regression suite your team runs without us.
- Request tracing
- Cost and latency budgets
- Client-run regression suite
Architecture
Your data never leaves its system of record.
We build a governed orchestration layer over your authoritative sources, unifying access and business logic without copying data into a new store. The result: your second AI use case doesn't start from zero.
Reference pattern · engagement-specific
Controlled input Governed outputGoverned enterprise context architecture
ForgeNine Governed Context Layer
Source-authoritative, permission-aware, and auditable.
Access controls Provenance engine Vector / graph context
End-to-end delivery
From first workshop to your team running it in production.
ForgeNine delivers more than code. Governed building blocks, a defined release path, and a handoff built into the engagement from day one—so your organization owns, operates, and scales the system without us.
- 01
Context & Evidence Baseline
We map your authoritative sources, business definitions, and access policy—then build the eval set that will decide whether the system is good enough to ship.
- 02
Custom Solution Engineering
Retrieval, orchestration, and workflow logic built against your governed sources, scored against that eval set on every change.
- 03
Secure Enterprise Deployment
Your identity provider, role model, secrets handling, request tracing, and cost budgets are built into the architecture—not bolted on afterward.
- 04
Enablement & Handoff
Runbooks, the eval suite, release controls, and source. Your team runs the regression pass without us.
Build securely. Deploy repeatably. Keep ownership.
How we move faster
Context that compounds across use cases.
Our internal reference architecture, Sparks, captures documents, decisions, and source authority as governed organizational memory. It is how we deliver systems that retrieve the "why," not just the "what," with a domain expert in the loop to correct the record.
CaptureStructureRetrieveActCorrectRemember
Explore the Sparks architecture 
Start your engagement
Where is generic AI failing your enterprise?
Bring us your most complex workflow, decision bottleneck, or internal application requirement. A few sentences is enough to start a real conversation about whether there is a fit.
Discuss your use caseTwo or three sentences is enough. We follow up for the detail.