Implementation

We build only what the diagnosis justifies

Every build starts from a documented, costed finding. That way the thing we deliver has a job to do, an owner, and a number it is supposed to move.

Oprus AI

Online — replying in seconds

Hi! Can you book me in for a survey this week?
Absolutely. I have Thursday 10:00 or Friday 14:30 free — which suits you?
Thursday works.
Booked. I've sent a confirmation and added it to the team calendar.
Qualifying visitor…
Scoped
Per roadmap item
Quoted before we start
Your accounts
Where it runs
You own the systems
Human in loop
Where it matters
Approvals by design
Documented
On handover
Plus team training
What we build

Capabilities, matched to findings

Not a product menu. These are the tools we reach for once we know exactly which problem we are solving.

AI assistants

Assistants trained on your services, policies and data that answer enquiries, qualify them against your criteria and hand the rest to a human with full context.

Workflow automation

The repeated manual steps found in the audit — rekeying, chasing, routing, status updates — removed or reduced to a single approval.

Document and data processing

Quotes, invoices, forms, emails and PDFs read and structured automatically, so information lands in your systems instead of someone's inbox.

Reporting that answers questions

The numbers your team currently estimates — conversion, response time, throughput, cost per job — collected automatically and shown plainly.

Integrations across your stack

CRM, calendar, inbox, accounting, booking and line-of-business tools connected through their APIs and webhooks. No new platform to adopt.

Governed and documented

Least-privilege access, an agreed data scope, human approval where it matters, and written documentation of what every automation can read and write.

Delivery

From approved finding to live system

Short cycles, real cases, your team involved throughout — so nothing goes live that nobody trusts.

01

Scope

We turn the finding into a definition of done, with the number it should move.

  • Written scope and quote
  • Agreed success measure
02

Connect

Least-privilege access to the systems involved, with the data scope agreed in advance.

  • API and webhook setup
  • Data handling documented
03

Build and test

Built and tested against real historic cases, reviewed with the people who will use it.

  • Real-case testing
  • Team review before launch
04

Hand over

Live, monitored, documented and explained — including how to switch it off.

  • Training session
  • Runbook and support route

Built to connect, not to replace

We assume you already own tools that work. Implementation wires AI into that stack rather than asking your team to migrate, relearn or duplicate their work.

  • CRM and sales pipelines
  • Calendars and booking systems
  • Shared inboxes and messaging
  • Accounting and invoicing tools
  • Spreadsheets and internal databases
  • Custom endpoints via webhooks
Implementation FAQ

Build and delivery questions

Know the problem already?

Bring it to a free consultation. If it's well-defined enough to scope, we can quote the build without a full diagnostic.