We build Artificial Intelligence that fits your actual business

Not a demo. Not a proof of concept. Production-grade AI systems designed around the data you already have, deployed where your team already works.

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Artificial Intelligence data network visualisation

The gap between AI hype and real results

Most companies know they should be using AI. Few know where to start without burning budget on pilots that never ship.

What we keep hearing

  • Data scattered across spreadsheets, CRMs and legacy databases with no single source of truth.
  • Previous AI vendors delivered a slide deck and a Jupyter notebook, then disappeared.
  • Internal teams are strong at operations but lack the bandwidth to train and maintain models.
  • Leadership wants measurable ROI within a quarter, not a three-year research programme.

What we do about it

  • Audit your existing data in the first week. We tell you honestly what is usable and what needs cleaning.
  • Build models that plug into the tools your staff already open every morning.
  • Hand over monitoring dashboards so your team can spot drift and retrain without calling us.
  • Tie every project to a KPI you choose before we write a single line of code.

Four phases, no mystery

Each engagement follows the same transparent path. You know exactly where your money goes at every stage.

Scoping call

A 45-minute video call where we map your data sources, current pain points and the business outcome you want. No charge.

Data audit

We connect to your systems (read-only), profile the data quality, and deliver a written feasibility report within five working days.

Build and validate

Our engineers train, test and benchmark models against your chosen KPI. You review results on a shared dashboard before anything goes live.

Deploy and support

We push the model into your production environment, set up automated monitoring, and stay on a rolling monthly retainer if you want ongoing tuning.

Services built for mid-market teams

We focus on projects that can show measurable value within 8 to 12 weeks.

Predictive analytics

Forecast demand, churn or equipment failure using your historical data. We deliver a model, an API endpoint and a plain-English report explaining what drives the predictions.

Document intelligence

Extract structured fields from invoices, contracts or compliance forms. Our pipelines handle PDFs, scanned images and handwritten notes with over 94% accuracy on most document types.

Workflow automation

Connect AI decision-making to your existing CRM, ERP or ticketing system. We reduce manual triage time by routing, tagging and prioritising items automatically.

Conversational AI

Custom chatbots and voice agents trained on your product catalogue, knowledge base or support history. Deployed on your website, WhatsApp or internal Slack channels.

AI strategy consulting

Half-day or full-day workshops for leadership teams who need a roadmap before committing budget. We score opportunities by feasibility, data readiness and expected payback period.

Data engineering

Before models can learn, data needs to be clean and accessible. We build ETL pipelines, data lakes and quality checks so your AI investments sit on a solid foundation.

47
Projects delivered since 2021
12
Industries served
93%
Client retention year-on-year
5 days
Average data audit turnaround
Aifluent Strategies team collaborating in our Wales office

A small team that ships

We are six engineers and two project managers based in Wales. Every person on the team has deployed at least one production ML system before joining. That matters because the gap between a working notebook and a reliable production service is where most AI projects fail.

Our clients range from a 30-person logistics firm that needed demand forecasting to a 2,000-employee insurer automating claims triage. The common thread is practical ambition: they want AI that earns its keep within a single financial quarter.

We do not resell off-the-shelf SaaS with a markup. If an existing tool solves your problem, we will tell you and save you the consulting fee. That honesty is why most of our work comes through referrals.

Things clients ask before signing

Most engagements fall between £8,000 and £35,000 depending on scope. A standalone predictive model with a single data source sits at the lower end. A multi-system automation pipeline with ongoing support sits at the higher end. We quote fixed-price after the data audit so there are no surprises.
No. Several of our clients have zero data staff. We handle everything from pipeline construction to model deployment. If you do have analysts or developers, we collaborate with them and transfer knowledge so they can maintain the system after handover.
We agree on a minimum performance threshold during the scoping phase. If our model does not meet that threshold after two iteration cycles, you pay only for the data audit portion. We have triggered that clause once in 47 projects.
All work happens on infrastructure you control unless you explicitly ask us to host. We sign a DPA before accessing any personal data, and our engineers hold current security clearances where required. We can also work with anonymised or synthetic datasets if regulations demand it.
The fastest we have gone from scoping call to production deployment is 19 days for a document extraction pipeline. A more typical timeline is 6 to 10 weeks. Complex multi-model systems with integrations can take 12 to 16 weeks.

Let's talk about your data

Fill in the form and we will reply within one working day. If you prefer a phone call, ring us directly.

Phone: +44 1736 179438

Email: [email protected]

Address: 16 The Oaks, Vandervortridge, Wales, MB9 8TA, United Kingdom