Custom AI Development
Build the AI components that power automation in your specific workflows.
Service · Automation
AI automation for the work your team shouldn't be doing manually.
If your team is doing the same task 200 times a day — sorting, routing, copying data between systems, processing documents — that's the work AI is genuinely good at. We build the automation that handles it quietly in the background.
- Hours saved
- Fewer errors
- Works with existing systems
- Production-focused
- Practical AI
How it works
Automation Workflow
Example AI Workflow Automation Pipeline
Outcomes
What clients get from this service
Hours saved
Repetitive triage and routing handled automatically.
Reduced errors
Consistent classification and extraction beats manual rekeying.
Increased throughput
Higher volume handled without adding headcount.
What this service is
Production AI automations built around the repetitive workflows that quietly burn hours every day. We handle the triage, routing, classification, extraction, and data movement — so your team can focus on the work that actually requires a human.
Problems it solves
- "Five people are spending half their week sorting tickets by hand."
- "We're paying for an offshore team to copy data between two systems we already own."
- "Document processing is the bottleneck on our entire onboarding workflow."
- "Our finance team is doing month-end manually because no tool handles our exact format."
What we automate
- Request triage and routing — tickets, emails, forms classified by type and urgency, routed to the right team, with anomalies flagged.
- Document processing — contracts, invoices, claims, and forms read, extracted, and pushed into the right downstream system.
- Data movement and reconciliation — the in-between work that connects your existing tools without a brittle integration project.
- Quality checks and exception handling — AI that flags the few records that need a human and quietly handles the rest.
- Reporting and summarisation — structured weekly summaries pulled from across multiple systems.
How we work
- We pick one painful workflow and ship the automation in weeks.
- We measure: hours saved, error rate, throughput.
- We expand only when the first automation is clearly earning its place.
Business outcomes
Your team gets hours back. Your error rate drops. Your throughput goes up without hiring. And the work that does need a human gets the attention it deserves, because the boring 80% is no longer eating the calendar.
Related services
Not sure which workflow to automate first? Start with an AI readiness assessment. Usually paired with custom AI development and informed by AI strategy consulting. See also customer support automation.
Engagement Example
Anonymised client example
Engagement Example
Automating end-to-end lead qualification across CRM, email and enrichment
- Challenge: Inbound leads triaged manually; SLA breaches and lost pipeline at peak volume.
- Built: An AI automation that classifies, enriches and routes new leads — with a human-in-the-loop escalation path.
- Outcome: Same-day response across all inbound; SDR effort focused on the highest-fit conversations.
Client names withheld. Outcome figures described qualitatively rather than as marketing metrics.
Frequently asked questions
- What's a typical first AI automation?
- Usually request triage and routing, or document extraction. They're high-volume, well-defined, and live within weeks — which makes the business case obvious quickly.
- How do you measure success?
- Hours saved, error rate, and throughput against an agreed baseline. We expand only when the first automation is clearly earning its place.
- Will it work with our existing tools?
- Yes. We integrate with the CRM, ticketing, ERP, and document stores you already run rather than asking you to rip anything out.
- Is this RPA or AI?
- Both, where each is the right tool. AI handles the messy classification, extraction, and judgement calls; deterministic automation handles the predictable steps around it.
How this fits
Where this sits in our Assess → Build → Run model
Related services
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