Governance frameworks

What we bring to the table before we write a line of code.

Six frameworks across three domains. They are how we keep quality repeatable rather than heroic, and they stay with your organization after the engagement ends.

Data Process Capability

Domain one

Data

Every AI capability inherits the condition of the data underneath it. Before we automate a decision, we establish how much the data supporting it can be trusted.

Framework 01

TSI — Data Trust Score Index

A structured score for how far a given data set can be trusted to carry a decision, assessed on completeness, lineage, timeliness, consistency and observed reliability in use.

The score is not a report card. It determines design: a high-trust source can drive automated action, a low-trust one routes to a human, and everything in between gets a checkpoint proportional to the risk.

What you get
A scored inventory of the data behind each target workflow, and the trust threshold each automated decision must clear.

Framework 02

Data Spine — augmented data processor

The processing layer that turns scattered, inconsistent enterprise sources into one dependable spine that agents and applications can build on — ingestion, reconciliation, enrichment and serving, with lineage preserved end to end.

It carries the TSI score with the data, so anything consuming it knows how much weight the input can bear.

What you get
A running data spine in your environment, with lineage and trust scoring attached to every served record.

Domain two

Process

How work becomes software, and how an idea from anywhere in the organization becomes a working capability without needing a sponsor with a budget line.

Framework 03

Augmented Engineering — our AI-SDLC

A software lifecycle designed for how work is actually built now: from a vibe-coded prototype, to production grade, to reliable operations — with an evolutionary knowledge system that carries the reasoning forward at every step.

Prototyping fast is no longer the hard part. The lifecycle exists to make the journey from something that works once to something that works every day explicit, staged and repeatable, and it is tailored to your domain rather than applied from a template.

Stage 1Vibe — explore the shape of the solution at speed, with no pretence that it is production software.

Stage 2Production grade — the last 10% that is 90% of the work: evaluation, failure modes, security, integration, ownership.

Stage 3Reliable operations — monitoring, drift detection and an evolutionary knowledge system so the system and the team keep learning.

Framework 04

Decision Framework

A defined route for any employee to pitch a problem worth solving and take it through to a working capability — with the criteria for what gets built, who decides, and what evidence a pitch has to carry.

The people closest to the work usually know where the value is. The framework removes the need for them to also know who to lobby.

Worked example — Accounting Agent
An agent for P&L management and recycling business debt: pitched from inside the finance function, scoped through the framework, and built into the operating rhythm rather than bolted onto it.

Domain three

Capability

Where the capability runs, who it answers to, and the judgment about what should not be built at all.

Framework 05

Enterprise deployment architecture

A reference architecture that scales inside your own VPC. Your data stays in your boundary, under your identity and network controls, with the deployment patterns, observability and cost controls already worked out.

It is designed to be operated by your platform team, not by us — which is what makes phase three possible.

What you get
A deployment blueprint and running environment in your cloud account, with the runbooks your team needs to own it.

Framework 06

Design Authority

The function that decides where humans stay in the loop, and where the honest answer is that something should not be built.

Capable models make it easy to rebuild things that already exist and work — a database engine, a scheduler, a mature line-of-business system — simply because it is now possible. The Design Authority sets those guardrails deliberately: what we build, what we integrate, what we leave alone, and which decisions a named human keeps.

What you get
Documented human-in-the-loop checkpoints per workflow, and a build-versus-integrate position with the reasoning written down so it can be revisited honestly.

How they fit together

Six frameworks, one system

The data domain establishes what can be trusted. The process domain turns trusted data and a real problem into working software, from whoever spotted the problem first. The capability domain decides where it runs and where human judgment holds.

None of them works alone. A trust score with no lifecycle around it is a report nobody acts on; a lifecycle with no design authority builds things that should never have been built; a deployment architecture with untrusted data underneath it industrialises the wrong answer.

[ Diagram: the six frameworks across data, process and capability, and the flow between them ]

See them applied to your environment.

Ninety minutes, one workflow: we run it through the data, process and capability frameworks and show you what each one surfaces.

Book a session