The framework

NeuralWorks.

Delivery — just like a flight plan.

Aviation is the safest way to travel and the fastest. It became both at once, and not by accident. Flight plans, air traffic control and regulation grew alongside the speed, and the speed is possible because of them.

All acceleration is risky — the greater the risk, the greater the planning and protocols required.

NeuralWorks is our answer to that for AI delivery. Four layers, always present. Five stages, travelled at your pace.

GOVERNANCE BAND · Reviewed, logged, auditableFLIGHT PLAN · Every requirement reviewed before code existsProposeReview ★GateRelease ★Ledger
Flight Path·Scene 1 / 4
Scene 01 · Flight Path
The delivery journey

Every change follows the same journey — propose, review, gate, release, log. Each stop is visible, timed, and recorded.

The four layers

One system.
Four layers. Always present.

Nothing here is optional. Every engagement inherits all four layers — and the review discipline that keeps them honest.

L1
the flight plan
Specification & Assurance
Every requirement ships with a reviewed test plan. Regressions fail prior tests instead of reaching users.
Tests as Specagents.md conventionsReview gatesThe test pyramid
L2
the flight deck
Execution Fabric
Where agents are allowed to work, and what contains them. Shadow data, scoped identity, agent-owned non-production environments.
Service principalsShadow Data ServiceEnvironment topologyData-fix, release & hotfix pipelines
L3
the control tower
Governance & Control
Risk classification, four gate tiers, hard scope guards, and a ledger recording what was proposed against what was done.
Prompt securityAction risk gatesGraph Execution LedgerPrivacy enforcementData residency
L4
the instruments
Evidence & Evaluation
Model selection on a published cadence. Delivery telemetry that closes the loop between claim and result.
Model evaluation cadenceBenchmark disciplineLedger telemetryOutcome measurement
The proprietary boundary

Anyone can buy the tools.
This is the system that makes them safe to run.

We did not invent the coding agents. What is ours is the specification method, the containment architecture, the risk taxonomy, the execution ledger, the privacy architecture, and the sequence for adopting all of it without stopping delivery.

Assembled — not proprietary
  • Frontier coding agents (Claude Code, alternatives)
  • Keycloak, OIDC
  • K3S, CDC tooling, CI/CD platforms
  • Public benchmarks (SWE-bench, AA-Omniscience)
  • Cloud infrastructure
Proprietary — DigitalWorks IP
  • Tests-as-Spec methodology and the 8-step workflow
  • Auth Broker Service — on-demand, time-limited access
  • Shadow Data Service — CDC + PII stripping
  • Governance model: risk taxonomy + four-tier gate system
  • Graph Execution Ledger — proposal vs. execution logging
  • Privacy architecture: pseudonym layer + single-trigger erasure
  • Cloud-agnostic residency deployment model
  • The five-stage adoption sequence
Governance

Four gates.
One rule.

Agents propose and prepare. Two different people review and release. Nothing reaches your production environment on an agent’s authority.

See the full governance model
Tier 1
Proceed
Executes. Logged.
Tier 2
Notify and proceed
Executes, notifies, stays cancellable for a defined window.
Tier 3
Wait
Queued for human approval. Timeout cancels — never proceeds by default.
Tier 4
Block
Refused. The agent re-plans. Logged as a planning failure.
Limits

What NeuralWorks does not do.

It does not remove the need for engineers.
It does not work on an estate with no test coverage until that coverage exists.
It does not let an agent release to production.
It does not make an unclear requirement clear — it makes the unclarity visible before code is written, which is a different and more useful thing.
The ascent

Five stages.
You choose how far.

Stages 01–02 are running today. Stages 03–05 are the roadmap frontier — defined, and being built with clients rather than ahead of them.

Stage 01
Development Acceleration
Months 1–3
Agents plus safety nets across new and existing development. Onboard to Tests as Spec, establish E2E coverage, automate the release path.
Stage 02
Triage Acceleration
Months 3–4
Privacy-safe AI resolution of customer support tickets. Ticket in, classify, resolve against shadow data with PII stripped, human reviews and applies.
Stage 03
Intelligent Insights
Months 4+
Proactive issue detection before surfacing. Agents monitor patterns across CS tickets and database inconsistencies, identify systemic issues.
Stage 04
Business Plan Acceleration
Months 4+
Plan seeded by analyst → agent implements against mock data → E2E test under review → business approval → release.
Stage 05
Realtime Intelligence
Months 8+
Adaptive live systems responding to real-time business data. Co-developed with clients rather than ahead of them.
See the full ascent
Start here

Start with one thing that works.

A 60-minute working session with two of our engineers. You bring a delivery problem. You leave with a written assessment of where AI would help, where it would not, and what it would take to find out.

No pitch deck. No obligation.