How we build

AI-augmented delivery. Architect-accountable

We may be the first Salesforce boutique in EMEA to publish exactly how we use AI in delivery — because if we're asking banks to trust intelligent systems, we should show our own working.

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The principle

AI does the heavy lifting. A named architect signs every decision.

AI in our delivery means one thing for you: senior-architect attention on every line of your build, at a pace and price a traditional bench model can't match. It never means unreviewed output reaching your org. Every artefact — configuration, code, document — passes through the same human gate: the architect whose name is on your engagement.

The stack — published, not whispered

What we actually use.

BUILD

Claude Code + Salesforce DX

Anthropic's Claude Code working against real Salesforce orgs through governed tooling — metadata, configuration and tests generated fast, reviewed always.

PLATFORM

Salesforce-native AI

Agentforce, Einstein and Data Cloud — configured with guardrails, tested against your regulatory standards before anything goes live.

QUALITY

Automated review gates

Static analysis, automated tests and security scanning on everything AI produces — the same bar AppExchange holds vendors to.

DOCUMENTS

AI-drafted, architect-signed

Designs, runbooks and training material drafted in minutes, then verified by the person accountable for them.

KNOWLEDGE

Living delivery playbooks

Every engagement sharpens our accelerators and checklists — your project benefits from every project before it.

BOUNDARY

Your data, never training data

Client data stays in your org. We work on metadata and synthetic data; nothing of yours trains a public model. Ever.

What it means for you

Why clients feel the difference.

More
senior attention — the architect spends hours on your problem, not on boilerplate.
Faster
iterations — a change you discuss on Tuesday is demonstrable on Wednesday.
Cleaner
builds — machine-checked consistency plus human judgement beats either alone.
The guardrails

Trust, by construction.

Human accountability is non-negotiable

Every deliverable carries an architect's review. AI suggests; a named person decides and answers for it.

Client confidentiality is absolute

Your data never leaves your governed environment, never touches a public model, never trains anything.

Tested like a regulated system

AI-built artefacts pass the same gates as hand-built ones: tests, static analysis, security review, UAT.

Transparent on request

Ask us in any engagement which parts were AI-accelerated and how they were verified. We'll show you.

this site was built this way too.— S.

We work this way because it's how the next decade of consulting will work — and because a bank evaluating AI deserves a partner who has already done the risk-thinking on itself. If you're weighing AI inside your own institution, start by interrogating ours: book a conversation.

Start the conversation

Let's talk.

One conversation with the architect — and a clear view of what your bank could ship next quarter. If we're not the right fit, we'll tell you in that call.

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