AI consulting agency

We find what's broken. Then we fix it with AI.

Oprus Media starts with a diagnosis, not a product. We examine how work actually moves through your business, identify where time and revenue leak out, cost each problem — and then build the AI systems that close those specific gaps.

Diagnostic
1–2 weeks

Diagnostic

Every finding
Costed

Every finding

Roadmap & systems
Yours

Roadmap & systems

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…
Diagnosis
Always comes first
No build before the findings
Fixed scope
Quoted in writing
Before any work begins
Your stack
We build around it
No new platform to learn
Honest no
When AI isn't the answer
We'll tell you plainly
The problem

Most businesses buy AI before they understand the problem

Which is why so many projects end as an unused tool and an awkward invoice. The constraint was never where anyone assumed it was.

You can feel it, but you can't name it

Margins are tighter than they should be and the team is always busy — but nobody can point to the specific step where the money and hours are actually going.

The same work, done manually, forever

Copying data between systems, chasing quotes, retyping the same replies. Expensive people spending their week on work that was never designed, only inherited.

Tools that don't talk to each other

A CRM here, a spreadsheet there, an inbox holding the real truth. Every question about performance turns into a manual exercise nobody has time for.

How we're different

Consultants first, builders second

We are paid to find the truth about your operation. What we build afterwards is a consequence of that, not the reason for it.

Structured diagnosis

We interview your team, follow real jobs through your systems and document every handover, delay and duplicated step. The problem gets named before anything gets built.

Findings you can cost

Each issue is quantified in hours, missed enquiries or delayed cash, so investment decisions are made on numbers rather than on enthusiasm for AI.

A prioritised roadmap

Impact against effort, ranked. What to fix first, what can wait and what should be left alone entirely — including the things AI shouldn't touch.

Implementation, not slideware

We build what we recommend: assistants, automations, data pipelines and reporting, wired into the systems your business already runs on.

Integrated with your stack

CRM, calendar, inbox, accounting, line-of-business tools and webhooks. No new platform for your team to learn and no data held hostage.

Measured after go-live

We agree what success looks like before we start, then report against it. If something isn't moving the number, we say so and change it.

Hear it in action

An example of an AI-handled call

This is the kind of conversation an AI assistant can hold with your customers — answering instantly, qualifying the enquiry and booking the next step, even outside working hours.

  • Answers every call, day and night
  • Qualifies the enquiry with natural questions
  • Books the appointment and confirms it automatically

Oprus AI — Voice Assistant

On a live call · 00:00

REC

Caller

Hi, I need someone to look at our booking process — we're losing enquiries.

Illustrative example of an AI-handled enquiry call.

How we work

Diagnose → Prioritise → Build → Measure

A consulting method, run in weeks rather than quarters, with your team's time measured in hours.

01

Diagnose

We interview your team, map the journey from enquiry to paid invoice and find where the work actually breaks down.

02

Prioritise

Each finding is costed and ranked by impact against effort, so the first thing we fix is the thing worth fixing.

03

Build

We implement the approved items — assistants, automations, integrations and reporting — inside the systems you already own.

04

Measure

We report against the numbers we agreed up front, tune what underperforms and hand over documentation and training.

What clients say

Example client feedback

These examples illustrate the format feedback will take. They are not real client testimonials.

“The audit told us the bottleneck wasn't sales at all. Nobody internally had been willing to say that out loud.”
Sample feedback — Illustrative — professional services
“They quantified how many hours a week we were losing to retyping the same job details. It was not a small number.”
Sample feedback — Illustrative — field operations
“Half the roadmap wasn't AI. They told us to fix the process first and only build the parts that needed building.”
Sample feedback — Illustrative — multi-site retail

Honest by design

We will tell you when AI is not the answer, when a process change would do the job, and when the sensible move is to spend nothing. Any figures or client feedback shown on this website are illustrative examples until verified client data replaces them.

FAQ

Questions, answered

What business owners ask us before an engagement starts.

Not sure what's actually holding the business back?

Book a free consultation. We'll talk through the symptoms, tell you what we think the real constraint is, and be honest if AI isn't the answer.