AI inside the work. Systems underneath it.

Two directions, one practice. We build AI that does the work the team was drowning in, and we build the enterprise systems the business actually runs on. Both live on top of process work that has already survived diagnosis — we don't automate chaos.

Book the diagnosis↗ See the two tracks

Two tracks, one technology practice.

AI development and enterprise solutions are different disciplines that have to agree. We run both, so the AI layer and the system of record are designed to fit each other instead of being bolted together afterwards.

AI that does the work, not a demo of it.

Agents and copilots embedded in the workflow your team already uses, pointed at the tasks that consume the day. Built to operate, not to impress in a pitch.

  • Agents & copilots. Embedded in the real workflow — the system acts, the operator supervises.
  • AI cold-calling. Outbound that holds a conversation, books the meeting, and logs itself into the CRM.
  • AI quality control. Every call and case scored; only the ones that matter interrupt a human.
  • Business-process systems. Custom ERP-class tooling built around the way your operation actually runs.

The system of record, selected and made to fit.

ERP, CRM, WMS, HRM, e-commerce — chosen against the diagnosis, configured to the operation, owned by your team after we leave. Off-the-shelf first, bespoke only where the work demanded it.

  • ERP. The operational backbone — finance, inventory, production, procurement, in one system.
  • CRM. The revenue system, wired to the sales floor and to call control.
  • WMS & HRM. Warehouse and people operations, run on a system instead of a spreadsheet.
  • E-commerce. Storefront and fulfilment that scale past the founder's attention.

What the system actually looks like.

Three views from a recent build — custom Odoo modules, deployed inside a live operation. Project management, the project ledger, and HR operations, designed against the work rather than the brochure.

odoo.client.internal / projects-ppm
Custom Odoo PPM module — project list with task detail and live status fields

PPM, wired to the way work actually flows.

A custom Odoo module: portfolio, programmes, projects, tasks, deliverables, change requests, prioritization, status reports — joined into a single ledger. Designed against the operation, not retrofitted to a default Kanban.

  • Custom Odoo module
  • PMI-aligned workflow
  • Status reporting
  • Live in production
odoo.client.internal / projects-ppm / list
Project ledger view — dozens of projects with codes, types, and status chips

Every project, every code, in one ledger.

The portfolio view as a single screen: project codes, types, owners, status, the entire programme at a glance. Filterable, exportable, and tied to the same status report the executive committee sees on Monday.

  • Portfolio at a glance
  • Coded & auditable
  • Owner + status
  • One source of truth
odoo.client.internal / hrm / dashboard
HR operations dashboard — headcount, probation, onboarding tiles

HR as an operating system, not a spreadsheet.

Headcount, probation, onboarding, departments, org units — every people-operations signal on one screen, with period filters and auto-refresh. The HR director runs the day from the dashboard, not from a folder of XLSX files.

  • Custom HRM module
  • Period & department filters
  • Auto-refresh
  • Export & send

Built on top of process work that survived diagnosis. The screenshots are from a live operation; the modules are owned by the client after we leave.

03Modules shown
19+Sectors operated
2–4wkTypical payback

And when there's no shelf to buy from.

Sometimes the system you need doesn't exist yet. Someone walks up at a conference and asks, "can you build me an Uber?" — and what they mean is a platform that joins their asset-management business to every maintenance service around it. We can, and we have.

  • Marketplaces & platforms.

    Two-sided platforms that connect supply to demand — maintenance services to the assets that need them, operators to the work, buyers to sellers.

  • Enterprise, from the scratch.

    When ERP/CRM categories don't fit the business, we build the system of record itself — designed around the operation, not retrofitted to a vendor's idea of it.

  • AI in the foundation.

    Built AI-native where it counts: the agents, scoring, and automation are part of the architecture, not a feature added in phase two.

Built on work that already survived diagnosis.

The rule that keeps this practice honest: nothing gets automated or built until the process it sits on has been mapped, measured, and stabilized. We automate the parts that earned the right to be automated.

  1. Diagnostic carryover.

    The findings from the consulting phase are the input. We don't build on top of a process nobody has mapped.

  2. Track selection.

    AI development, an enterprise system, a from-scratch platform — or a combination. The diagnosis decides which, not the brochure.

  3. Build in sprints.

    Two-week sprints, each closing with a live demo against a real workflow. No "phase 2" placeholders carrying the weight of the promise.

  4. Handover.

    Documentation is part of the deliverable. A nominated internal owner runs the system from day one; we stay for one quarterly close, then disengage.

Adjacent practice

All services →

Automation.

ERP, CRM, HRM selection and in-depth process design. The system you can stop running manually.

CRM & Call Control.

Conversation-level monitoring with AI. Sales QA wired into the CRM you've already chosen.

Industries.

Where the AI and the systems get pointed — nineteen sectors, each with its own specifics.