Workflow orchestration
Multi-step processes with branching, retries, and state that survives failure.
Every engagement is assembled from these building blocks. Most clients start with one and expand — because the second automation is always faster than the first, once we understand your systems.
The bread and butter. We follow a process end to end, find every point where a human is acting as a data cable between two systems, and remove it. Approvals that took two days happen in two minutes. Reports that took a Friday afternoon arrive at 6am.
High-volume, rule-heavy, low-judgement work: order processing, onboarding, invoicing, reconciliation, scheduling, compliance checks, status updates.
Low-code platforms where they're genuinely the right answer, custom code where they aren't. Always version-controlled, monitored and reversible.
Multi-step processes with branching, retries, and state that survives failure.
Rules-based routing with escalation, reminders and a complete audit trail.
Data pulled, joined, sanity-checked and delivered — with a written summary.
For legacy systems with no API, we automate the interface itself.
Resolve tier-1 tickets end to end, escalate real exceptions with context attached.
Grounded in your policies, docs and data. Answers with citations, not vibes.
Lead qualification, market monitoring, competitor tracking, due diligence prep.
Personalised follow-up, CRM hygiene, meeting prep briefs, pipeline nudges.
Agents are automations that can reason. They handle the cases a rigid workflow can't — ambiguous inputs, missing information, judgement calls — by planning, calling tools, checking their own work, and asking a human when they're unsure.
Scoped tool access, output validation, cost ceilings, refusal behaviour, and an eval suite that runs on every change.
Every decision, tool call and token is logged. When someone asks “why did it do that?”, you have the answer.
Sometimes the automation needs a product around it — a portal for clients, a review queue for staff, a dashboard for leadership. We're a software agency first, so we build the whole thing rather than handing you a script and wishing you luck.
Review interfaces, admin panels, operational dashboards and the workflows your team lives in all day.
AI-native SaaS MVPs, client portals and self-service tools — from first wireframe to first paying user.
Documented, versioned, rate-limited endpoints so your automation becomes infrastructure other teams can build on.
Automated tests, CI/CD, staging environments, structured logging, error tracking, infrastructure as code and a README your next developer can actually follow. The boring things that decide whether a system is still running in two years.
Invoices · purchase orders · contracts · insurance claims · medical intake forms · shipping manifests · bank statements · résumés · inspection reports · handwritten notes · email threads · scanned archives.
The single most common source of hidden cost we find in audits. Teams spend thousands of hours a year retyping information that already exists in a document — and every retype is a chance to introduce an error.
Modern document AI is good enough that this is now a solved problem, provided you build it properly: confidence thresholds, human-in-the-loop review, and validation against your actual business rules rather than blind trust in a model.
Nothing intelligent can happen on top of data that's trapped, duplicated or stale. This is the layer nobody puts in a pitch deck and every successful automation depends on.
CRM, ERP, helpdesk, billing, HRIS, marketing, comms — connected properly, with retries and rate-limit handling.
One place where the numbers agree. ETL/ELT pipelines, modelling, and dashboards on top.
Wrapping a 15-year-old system in an API instead of replacing it — the pragmatic path.
Deduplication, normalisation and enrichment so your automations aren't learning from garbage.
If you're being pushed to “do something with AI” and don't know where to start — or you've started six things and finished none — this is the engagement that fixes it. Independent, vendor-neutral, and willing to tell you when the answer is “don't”.
Every process scored on volume, effort, error rate and feasibility.
Honest payback periods you can defend in a budget meeting.
Acceptable use, data handling, model approval and review processes.
Training so your people can maintain and extend what we build.
We pick tools that fit your constraints — not the ones we have a partnership with.
That's exactly what the audit is for. We'll tell you which service fits — and which ones you can safely ignore.