AI that reaches production.
Most AI work stops at the pilot. We build AI employees and agentic systems that run inside your business — connected to real systems, bounded by real controls, measured against a real baseline.
- Not a generic development shop taking AI briefs
- Not a strategy deck with no implementation behind it
- Not a chatbot wrapped around a knowledge base
- A product company that deploys its own AI platforms
- And builds the agents, retrieval and integrations around them
Six ways we deploy.
Engagements usually start with one and grow into the next. You do not have to buy the whole programme to find out whether it works.
AI Strategy
Find the work worth automating. We map processes, size the opportunity, set the baseline to measure against, and say plainly where AI will not help.
ASSESS · PRIORITISEAI Agents
Design and deploy agents that reason, decide and act — with a defined scope, a defined escalation point, and tool access limited to what the job needs.
BUILD · DEPLOYEnterprise RAG
Turn your documents, databases and applications into a retrieval layer that answers with citations and honours the permissions your systems already enforce.
GROUND · CITEAI Automation
Automate the repetitive execution work — document processing, routing, approvals, follow-up and write-back — with humans kept on the decisions that warrant them.
EXECUTE · ROUTEAI Integration
Connect AI to the systems the work lives in — CRM, ERP, telephony, storage, ticketing — with scoped credentials, clean interfaces and no shadow copies of your data.
CONNECT · SECUREAI Transformation
Take it beyond one workflow: operating model, governance, enablement and the sequencing that gets a business from first deployment to an AI workforce.
SCALE · GOVERNFrom process to AI employee.
Each step produces something you can review before the next one starts.
Identify the work
Map the process, measure the current baseline, choose the first slice.
Design the AI employee
Scope, decision rights, tone, escalation, and the actions that need approval.
Connect systems
Integrations built with scoped credentials against your existing stack.
Deploy
Live on a narrow slice, with monitoring and a way to stop it.
Measure & extend
Compare against the baseline, then widen the scope — or change course.
We deploy our own platforms first.
Where one of our products already does the job, you get a running system instead of a custom build. Where it does not, we build around it.
See the AI stack- VoicePro
- Voice agents for sales and service conversations.
- SocialPro
- AI marketing content, scheduling and analytics.
- HirePro
- AI screening across the recruitment pipeline.
- InfoPro
- Enterprise RAG over your documents and systems.
- ERPPro
- AI-native finance, inventory, CRM and HR operations.
- Custom
- Agents and integrations built where no product fits.
Where we have built.
The work differs by sector mainly in what the AI is allowed to do and which systems it must reach. These are the environments we have delivered into.
- Financial & Professional Services
- Document-heavy work, strict access rules, clear audit expectations.
- Education
- High enquiry volume, seasonal peaks, large applicant and student cohorts.
- Manufacturing & Distribution
- Stock, suppliers and production plans that reward accurate forecasting.
- Retail & Consumer
- Customer conversations at volume, and content across many channels.
- Healthcare & Community Services
- Sensitive data, tight permission boundaries, human decisions preserved.
- Technology & Services
- Fast-moving teams hiring continuously and supporting customers at scale.
Not seeing yours? The question we ask first is the same everywhere — what work is repetitive, high-volume and rule-shaped enough to hand over.
Bring us one process.
We will tell you honestly whether AI should take it on — and what it would take.