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AI practice for enterprises & SMEs
Cloud · On-premise · Governed by design

Give your business
a voice — and agency.

We transform your company into an AI-powered machine that supports the humans you serve. Ask your business anything — it answers from its own knowledge. Give it agency — it does real work.

Governed to
NIST AI RMF
ISO/IEC 42001
Law firmsAccounting & advisoryMedical groupsFINANCIAL · SERVICESEngineering practicesInsurancePublic sectorENERGY · UTILITIES Law firmsAccounting & advisoryMedical groupsFINANCIAL · SERVICESEngineering practicesInsurancePublic sectorENERGY · UTILITIES
The pattern

Everyone has AI. Almost no one has it working.

The tech isn't the problem. The problem is AI that doesn't know your business — its knowledge, its workflows, its people.

95%

of AI pilots go nowhere

MIT found only 5% of enterprise AI pilots create real value. The winners put AI in the hands of the people doing the work — not a central lab.

~19%

of the week is lost to searching

Your team spends about a day a week hunting for answers the business already has. McKinsey measured it.

10-20-70

AI is mostly people and process

BCG's rule: 10% algorithms, 20% tech, 70% people and process. We work on the 70%. Most projects never touch it.

The method

Frontline-first. Five layers.

We don't start with tools. We start with the people doing the work — then structure, support, govern, and improve from there.

01

Observe

See how work really happens — where it slows down, stalls, and gets stuck.

02

Structure

Turn scattered files and tribal knowledge into one organized, governed layer.

03

Support

Put AI at the moment of the decision — not in a chatbot off to the side.

04

Govern

Access controls, approvals, audit trails. Aligned to NIST AI RMF and ISO/IEC 42001.

05

Improve

Ship new workflows every month. Train your people. Keep score.

Observe → Structure → Support → Govern → Improve — run as a repeating cycle, not a one-off project.
The full method
Where to start

Start with a readiness assessment.

Fixed fee. You get a scorecard, a shortlist, and a 90-day roadmap. Pick your depth.

SCOPE 01 · READINESS REVIEW
1–2 weeks
Where does
work get stuck?
Interviews-led · Fixed fee from US$2,500

We interview your leaders and your frontline, score your readiness, and show you where work gets stuck.

  • Stakeholder & frontline interviews
  • Readiness scorecard across 7 dimensions
  • Friction snapshot with top-3 opportunities
  • Executive debrief + written summary
Book a readiness review
RECOMMENDED
SCOPE 02 · KNOWLEDGE & DATA AUDIT
3–5 weeks
What should
we build first?
Interviews + document & data analysis · Quoted to scope

Everything in the review, plus we audit your actual documents, SOPs, and data. That's what lets us quote your build at a fixed price.

  • Document, SOP & knowledge-base analysis
  • Data-readiness review & knowledge inventory
  • Use-case scoring & governance gap review
  • 90-day roadmap + build blueprint
Book the full audit

Both stand on their own — no obligation to build with us. If you do, the fee counts toward the build.

Deployment

Your knowledge never leaves your control.

Everything runs where you say — our cloud or your servers. Your data, your knowledge base, every output: yours. We keep our tools; you keep everything they produce.

That's not a feature. It's the reason careful organizations can say yes.

Cloud

Fast to stand up, fully managed

Deployed in a private cloud tenancy with role-based access, encryption, and audit logging. The default for teams that want speed without giving up control.

On-premise

Inside your own infrastructure

For regulated and data-sovereign organizations: the full system runs on your servers or in your private cloud, within your identity, hosting, and logging constraints.

Case study
Professional services · Law

A 30-year law firm gave its expertise a voice — then a teammate.

Decades of authority — articles, opinions, case knowledge — locked in a legacy website and scattered archives, invisible to the AI engines clients now ask first. We rebuilt it as firm-owned AI infrastructure, in phases.

Read the case study
Tool

An AI-ready foundation

A fast, machine-readable web presence with full structured data — built so both people and AI engines can understand who the firm is and what it knows.

System

A knowledge engine

The firm's archive became a private digital memory and a publishing engine — answer-first content structured to earn citations from AI search, owned by the firm.

Teammate

A private co-pilot

The same memory turned inward: a multi-agent assistant that researches, retrieves, and drafts against the firm's own knowledge — with review gates and evaluation before anything ships.

Common questions

What we hear most often.

Something not covered here? Write to us directly.

How does an engagement start?

With a fixed-fee readiness assessment, in one of two scopes: a readiness review built from stakeholder and frontline interviews, or a knowledge and data audit that adds analysis of your documents, SOPs, and data. Both end with a readiness scorecard, a prioritized shortlist, and a 90-day roadmap — useful whether or not you build with us.

Can this run on our own infrastructure?

Yes. Everything we build deploys either in a private cloud tenancy or fully on-premise, inside your identity, hosting, and logging constraints. Your knowledge never leaves your control — that is a design principle, not an add-on.

Who is this for?

Businesses that run on expertise — from established professional-services firms to enterprise operations teams. If your organization has real knowledge trapped in documents, systems, and people's heads, both the voice and agency practices apply. We work with enterprises and SMEs, and scale the engagement to fit.

How do you keep it governed?

Governance is engineered in, not written up afterwards: role-based access controls, human-approval thresholds for consequential actions, evaluation of groundedness and citation accuracy, and audit trails — aligned to NIST AI RMF and ISO/IEC 42001. You get the policy pack and the controls, and they are designed to be operated, not filed.

Does this replace our people?

No — it strengthens their judgment. We start every engagement with the people doing the work, and the operating model trains your own champions so capability builds inside your team, not ours. The evidence is clear that AI value is mostly people and process; systems designed around your people are the ones that get adopted.

Who owns what when an engagement ends?

You own your data, your knowledge base, and every output — unconditionally, in machine-readable form. We retain the reusable delivery framework we bring to every client. That line is written into every agreement.

Start here

Give your business
a voice — and agency.

Start with the assessment. Fixed fee. You get a scorecard, a shortlist, and a 90-day roadmap.