AI & integrations in your stack
We bring AI into the systems you already run, and connect the ones that never talked.
- ERP, CRM, ticketing, data, internal tools
- Process optimisation end to end
- No rip-and-replace required
We build the software your business runs on.
Engineering that ships. AI that earns its place.
Production software built inside the IT ecosystem you already have, with your people in the loop and your team able to own the result.
AI as method
It is how we design, build and review everything we deliver. That applies to every project, including the ones with no model in them.
AI as component
It goes into the product when the problem calls for it. Often it does not, and the answer is an integration or a process rebuilt properly.
What we do
One engagement, five fronts. You start on the one that hurts most.
We don't do generic “digital transformation.” Each front is a concrete piece of work with its own deliverable — and they compound when you run more than one.
Agents, humans in the loop
Agents absorb repetitive work; your team keeps the judgement calls.
- Sales, hiring, finance, support, engineering
- Conventional UI and agent interfaces
- Autonomy is earned, not assumed
Prototype to enterprise
You built it with AI and it works. We make it something your organisation can run.
- Security, access control, audit trail
- Scale, observability, compliance
- A codebase your team can own
De-SaaSification
Where a tool costs more than it returns, we replace it with software you own.
- Stack audit and replacement shortlist
- Custom builds, delivered incrementally
- Data migration and integrations
Training & knowledge transfer
Foundations delivered to a team that knows how to run them.
- Hands-on training for your IT team
- Knowledge transfer as a deliverable
- We help you hire and form the team
- Full ownership, no vendor lock-in
01 · In depth
AI inside the stack you already have
Not every problem is a replacement problem. Most companies already run an ERP, a CRM, a ticketing system, a warehouse of data and years of internal tools. We integrate AI into that ecosystem, connecting systems that were never designed to talk and optimising the processes that run across them.
The principle
We meet your IT ecosystem where it is. Integration first, replacement only where it pays for itself.
Your existing IT ecosystem
ERPCRMTicketingData warehouseInternal toolsEmail & documentsLegacy systems
Adavance integration & agent layer
Connectors, orchestration and AI reasoning on top of the systems of record, with people reviewing what matters.
Processes that run end to end
Data that reconciles itself
Decisions with context attached
02 · In depth
Agents that work with your team, not around it
Every team loses hours to work that is repetitive, rule-based and invisible in any roadmap. We deploy dedicated agents onto those processes, usable through conventional interfaces and as agents your team can simply ask.
Humans in the loop
A person stays accountable for every consequential action. Agents earn autonomy process by process.
Sales
CRM hygiene, pipeline updates and follow-up that never gets logged.
Hiring
Pipeline triage and screening at the top of the funnel.
Finance
Reconciliation across accounts, invoices and internal records.
Support
Ticket routing and resolution, with agent-powered teams as an option.
Engineering
Status updates and release notes generated from real activity.
Anything repetitive
If it follows rules and eats hours, it is a candidate.
Autonomy
Suggest
The agent proposes; the team acts. Nothing moves without a person.
Review
The agent drafts the work; a human checks it before it lands.
Approve
The agent executes, pausing at the decisions that carry risk.
Autonomous
Only once the track record justifies it, and always observable.
03 · In depth
We take your AI-built idea to the enterprise
AI has made it easy to build something that works. It has not made it easy to build something an enterprise can run. We take the prototype that proved your idea and bring it up to the standard your organisation actually requires, without throwing away what already works.
Why we can do this
Years of tuning AI-built systems in production, ours and our clients'. We know exactly where they break.
You have
A working idea, built with AIWe add
Enterprise hardeningYou get
Something IT will sign off onSecurity
SSO, roles and permissions, secrets handling, audit trail.
Data governance
Retention, residency and the compliance posture your sector demands.
Scale
Real load, real concurrency, and the cost profile that comes with it.
Observability
Logs, traces and alerts, so failures are visible before users report them.
Integration
It has to live inside the corporate stack, not beside it.
Maintainability
Tests, CI and a codebase your engineers can read and extend.
04 · In depth
De-SaaSification
Most stacks accumulate tools nobody chose on purpose. We audit what you actually use, identify what is cheaper to own than to rent, and rebuild it as software that fits your process instead of the other way around.
The outcome
License savings compound. Process friction drops. You own what we ship.
Audit
We map every tool in the stack, what it costs, and what work actually depends on it.
Shortlist
Not everything should be replaced. We separate genuine candidates from tools worth keeping.
Build
Custom replacements delivered in increments, starting with a pilot on a single workflow.
Migrate & integrate
Your data moves across, and the new system talks to the tools you decided to keep.
Benchmark
Performance measured against the tool it replaced. The replacement has to win on its own merits.
How we do it
We know this method works, because it is the one we run ourselves
Two decades of building product and technology sit underneath this.
Engineering discipline is not ours to invent and we do not skip it. The stack is built on established practice and on where the industry is genuinely moving. What we added is the layer that AI demands on top, because getting real value out of it requires your own processes and your own harness. Every product we ship, for ourselves and for clients, runs through it.
Delivery
Dayflight
Our AI-native project management. Custom dashboards and agents give clients live visibility into project status, tasks and percentage of execution. Just ask it.
Quality
Sonarclaw
AI-written code needs review as much as human-written code. Sonarclaw analyses every piece of code live, surfacing bugs, errors and vulnerabilities before they reach production.
Runtime
OpenHarness
Our execution runtime. It coordinates continuous integration, quality control and agentic support, so agents, automated processes and people all run through one coordinator.
MapPilotScaleTrainHand-off
FAQS
The questions we keep getting asked
Not sure which front you're on? Tell us what you're running today and we'll come back with where AI would actually change something — and where it wouldn't.
No. Integration comes first, replacement only where it pays for itself. Most companies already run an ERP, a CRM, a ticketing system, a warehouse of data and years of internal tools — we meet that ecosystem where it is, connect the systems that were never designed to talk, and put AI on top of the processes that run across them.
Replacement is a separate conversation, and we only open it when a specific tool costs more than the software that would replace it.
That's one of the five fronts. AI made it easy to build something that works; it did not make it easy to build something an enterprise can run. We take the prototype that proved your idea and add what your organisation actually requires — SSO, roles and permissions, secrets handling, audit trail, data governance, real load and real concurrency, logs and traces, tests and CI.
We don't throw away what already works. We keep the thing that proved the idea and bring it up to the standard IT will sign off on.
Agents absorb the repetitive, rule-based work that is invisible in any roadmap — CRM hygiene, pipeline triage, reconciliation, ticket routing, status updates. Your team keeps the judgement calls.
Autonomy is earned, not assumed. Every process starts at suggest, moves to review, then to approve, and only becomes autonomous once the track record justifies it — always observable, with a person accountable for anything consequential.
Not anymore. AI-assisted development cuts ongoing maintenance to a fraction of what it was in 2019, and you avoid per-seat compounding as the team grows. Break-even on most replacements lands inside 12–18 months — faster for sprawling or growing orgs.
The math also ignores hidden SaaS costs: admin time, integration SKUs, seat creep, and the workflow friction of tools that fit 70% of how you actually work.
And the math only holds if what we ship is actually solid. Our team has 20+ years of architecture work behind it; AI compresses the build cycle, but the patterns, observability, test coverage, and operational runbook that keep a system maintainable at three years out are still human decisions. That's the part we bring.
Replaces well: internal CRMs, project and task tools, HRIS-lite, knowledge bases, reporting dashboards, most "ops" tooling, and any custom workflow app that's been stitched together with Zapier and goodwill.
We don't replace: scaled payments (Stripe), global infra (AWS, Cloudflare), calendaring, heavy-compliance vertical SaaS you're already deeply in. Those get integrated.
You do, and your team does. We hand off repositories, deployment configuration, runbooks, and the operational knowledge — no platform lock-in and no per-seat fees from us on top of whatever we replaced.
Knowledge transfer is a deliverable, not a favour: hands-on training for your IT team, and help hiring the people who will run it if the team isn't there yet.
AI does not just make the work faster. It changes what the work can be.
We redesign how your processes run, using AI to do it, and we build AI into the result. Let's talk about where that would matter most for you.