UK-based • 10× lower automation cost • governance-first
We capture what your team does, design an event-driven system around it, and deploy agentic microservices for predictable, scalable automation—while keeping a local LLM option available when privacy or cost requires it.
Spreadsheets, copy-paste, chasing approvals, reconciling data, and repeat questions are expensive. Most automation solutions make it worse: they're costly, hard to change, and they don't give you a clean, governed event model—so every new automation becomes fragile.
We know how exhausting manual routines are—especially when your best people spend their time on repeat work. Our job is to design automation you can trust.
We've seen teams lose hours every week to "small" admin tasks that never end.
We build agentic microservices using Google ADK, Agent-to-Agent protocol, and Model Context Protocol—AI develops every component, so they run fast, stable, and error-correcting from day one.
You'll know exactly what happens next—and what you'll get at each step.
Use our automated capture app to record routine work. We map the actions, data, and decisions.
We design a custom agentic architecture around your current systems: events, services, and governance.
We deploy agents and workflows, then add local LLMs only when it improves privacy or cost (optional).
Practical automation outcomes, with architecture your team can understand and maintain.
Move away from per-seat, per-token platform lock-in. Pay for real work delivered, not vague "AI credits."
Use local LLMs where needed, and keep sensitive data under your policies and access controls.
Event-driven flows reduce breakage. Governance keeps ownership, quality, and audit trails clear.
Your team stops "running the process." The software runs it—checks itself, logs decisions, and improves over time. Data governance becomes part of the DNA, not a quarterly fire drill.
Event-Driven Architecture (EDA) means your systems talk using clear events like "Invoice Approved" or "New Client Created." That makes automation easier to change, test, and audit.
We define ownership, quality checks, and access rules alongside the automation—so your data stays trustworthy as volume grows.
Small services that do one job well, recover from errors, and coordinate using Google ADK, Agent-to-Agent protocol, and Model Context Protocol—all AI-developed for speed and stability.
When a request arrives, an event triggers the right microservice, the service checks rules, takes action, and logs the result.
We work primarily hourly so you can start small, prove value quickly, and scale only when it's working.
For bigger transformations, we can move from hourly delivery to a structured roadmap (phases, milestones, governance, and measurable outcomes).
Any repeatable process with handoffs, data changes, and approvals.
Request handling, routing, follow-ups, status updates, reporting.
Invoice matching, approvals, reconciliation, reminders, audit logs.
Quality checks, lineage, access reviews, policy enforcement.
Usually, no. We connect to what you already use, then improve the process around it.
No. Local LLMs are an option. Many systems work well with standard models and strict controls; when privacy or cost demands it, we can run local LLMs in your environment.
Event-driven design + governance checks + monitoring. Agents log actions and recover from common errors.
Book an intake session. We'll identify one high-value routine and ship a first automation slice quickly.
In 60–90 minutes, we'll map the routine, estimate savings, and outline a safe, private path to automation.