How do we start with AI?

We start with a short discovery that finds where AI genuinely pays back in your business, then prove it with a focused proof of concept before any large investment.

Can you integrate AI into our existing systems?

Yes. We build AI into existing products and workflows, from chatbots and document processing to prediction and reporting, governed within ISO 27001 controls.

Do you build machine learning models?

Yes. We develop, train and deploy models with TensorFlow and PyTorch, and we integrate commercial models where that is faster and cheaper.

What does AI consulting cost?

It varies with where AI genuinely pays back in your business, which is exactly what the first conversation establishes. We prove value with a focused proof of concept before you commit to anything larger.

Do we need our data sorted out before starting?

No, but you need to know its real state, and that is part of our discovery. Many useful AI projects start with imperfect data; the plan just has to be honest about it.

How do you handle AI governance and compliance?

Inside ISO 27001 controls, with access, auditability and data handling designed in from the start. You get governance reporting your board can actually read.

PLAN PHASEFOR LEADERS UNDER AI PRESSURE

AI that makes it past the demo.

Most firms can run an AI pilot; the hard part is production. We find where AI genuinely pays back in your business, prove it with a focused proof of concept, then build and run it within ISO 27001 controls, integrated into the systems you already use. We advise clients in the UK and the US.

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Sound familiar?

Why AI projects stall

Pilot purgatoryImpressive demos that never reach production. The gap between a demo and a dependable system is where most AI budgets quietly disappear.

AI pressure without a planThe board wants AI; nobody can say where it pays. Adopting AI without a payback thesis is how fashion becomes cost.

Data not readyInformation scattered and unlabelled across systems. The model is rarely the hard part; the data feeding it usually is.

Governance worriesCompliance questions blocking every experiment. Governance designed early is an enabler; bolted on late, it is a brake.

Capabilities

What we deliver

AI that survives contact with production.

AI opportunity auditWhere it pays back in your business, specifically

Machine learningPrediction and classification on your data

Chatbots & assistantsUseful ones, scoped honestly

Document processingThe paperwork your team should not be reading

Production integrationInto the systems you already use

GovernanceAuditable, compliant, board-readable

How we work

From hype to payback

PHASE 1 - PLAN

Find where AI pays back

Opportunity audit: where AI pays back
Focused proof of concept with success criteria
Governance and data readiness

PHASE 2 - BUILD

A pilot with success criteria

Production build inside ISO 27001 controls
Integration with your existing systems
Monitoring, retraining and improvement

PHASE 3 - RUN

Models drift. We watch them.

Monitoring and retraining
Cost and quality tuning
Governance reporting your board can read

We run AI inside our own products every day. That experience is what you hire.

Worked example

How an AI engagement runs, start to finish

Drawn from the AI inside our own products

01Find the paybackNot where AI could go, but where it genuinely returns value: a short, blunt audit.

02Prove it smallA proof of concept with success criteria agreed in writing before it starts.

03Build for productionInside ISO 27001 controls, integrated, monitored, owned.

04Watch the modelDrift monitoring and retraining, because launch day accuracy decays quietly.

Technology

The right tools, not all the tools

Machine learning, chatbots, document processing and prediction, integrated into the systems you already use. The same capability runs inside our own product suite every day, which keeps our advice grounded in production reality rather than conference slides.

Machine learningLLM integrationDocument processingPredictionPythonGovernance tooling

Full technology list →

Security

Built in, not bolted on

Data governance, access control and auditability designed in from the start.

Case studies

Proof from this service

Projects delivered with exactly what this page describes.

Moops

Bank-grade crypto wallet, beginner friendly

All case studies →

Our own AI product

We run VelaOps. That changes the advice.

Most AI consultants have never operated AI commercially. We have: VelaOps is our managed AI platform for small and mid-sized businesses, pairing AI agents with human experts working as one team. Every recommendation we make as consultants is tested daily against what actually works in production, on our own product, with our own customers.

Explore VelaOps ↗

WHAT VELAOPS PAIRS

AI agentsHandling the repeatable work at machine speed

Human expertsJudgement, oversight and the edge cases

One teamManaged together, so SMBs get both without hiring either

The experience behind our AI consulting, running live at velaops.ai

Before you ask

Straight answers

Cut through the AI noise

One conversation, and you will know where AI genuinely pays back in your business and where it is just fashion.

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