
AI & Automation
Put the repetitive work on autopilot. We build AI systems that plug into the tools you already run — and we prove the business case on your own data before you commit to a build.
Client success
Don't just take our word for it. Here's what our partners say about our straightforward approach and dedication to their success.
The problem
The gap is almost never the model. It is everything around it — the data, the integration and the ownership after launch.
Copying data between systems, sorting inbound email, chasing approvals, rekeying invoices. It is quiet, constant, and it consumes the hours you actually hired those people for.
A demo that impressed everyone in a meeting and then stalled. Most AI projects fail at integration, not at the model — because nobody owned the plumbing into real systems.
The information is there — across a CRM, a spreadsheet, a shared drive and someone’s inbox. Until it is unified and clean, no amount of AI will produce a trustworthy answer.
Off-the-shelf assistants answer generically because they were trained generically. They do not know your pricing rules, your compliance limits or your escalation path.
What we build
Every one of these is something we have shipped into a live business process, not a capability list copied from a vendor brochure.
Assistants grounded in your own documentation, pricing and policies — so answers are correct, on-brand, and escalate to a human at the right moment instead of guessing.
The repetitive path between systems, automated end to end: intake, validation, routing, approval, notification and record-keeping — with a human in the loop where it matters.
Invoices, contracts, forms and scans turned into structured records automatically, with confidence scoring so uncertain fields get reviewed rather than silently wrong.
Forecasting built on your own history — demand, churn, maintenance windows, cash flow — presented as decisions your team can act on, not a model score nobody trusts.
Visual inspection, counting, classification and safety monitoring — running on the factory floor or the edge device rather than depending on a round trip to the cloud.
The unglamorous half that decides whether AI ever ships: connecting models to your CRM, ERP, database and internal tools, with monitoring, cost controls and fallbacks.
Tell us the task that eats the most time. We will estimate the hours it costs you today, what automating it would take, and whether the payback justifies the build — before you spend anything.
The business case
Measured in hours recovered and errors avoided — the numbers a finance director will accept.
The tasks that consume afternoons — data entry, triage, reporting — stop consuming afternoons. The same team covers more without growing.
Automating the routine path means volume can grow without headcount growing at the same rate.
Machines do not get tired at 5pm. Validation happens the same way every time, with an audit trail behind it.
Enquiries answered in seconds rather than the next working day — which is often the difference between winning and losing the deal.
People spend their time on judgement, relationships and exceptions instead of shuffling records between screens.
Your data, your infrastructure, your rules. We build so you are not locked to a single vendor or a single model.
How it works
You should see the approach work on your own data before anyone asks you to fund a full implementation.
We map where time and money actually go, then rank the candidates by value and feasibility. Some come back as "automate this", some come back as "fix the process first".
Before any commitment to a full build, we prove the approach against your real data and show you measured accuracy — not a vendor demo on someone else’s dataset.
We design how it connects to what you already run: systems of record, permissions, failure handling, human review points and cost ceilings.
Development in short sprints with your team testing against real cases. Deployment is staged, with a rollback path and monitoring from day one.
We track accuracy, throughput, cost per run and hours saved after go-live, then tune. AI systems drift — they need an owner, and we help you set that up.

"AI isn't about replacing people — it's about amplifying what they can do."
Our philosophy
Proof of work
Automation running inside real operations, dashboards replacing spreadsheets, and platforms built end to end. Judge the work rather than the pitch.
Check our workWeb & mobile
Customer-facing products built to convert
Operations
Internal platforms replacing spreadsheets
AI systems
Automation wired into real workflows
Embedded
Firmware and connected devices in the field
Why WDF
Most AI projects fail at the boring part — integration, reliability, monitoring, ownership. That boring part is our day job.
Our background is custom software. Integration, reliability and error handling are our normal work, which is exactly where most AI projects die.
Some problems are a bad process, a missing integration or a database query. If that is what the audit finds, that is what we will tell you.
We design for data residency and retention up front, including self-hosted or private-endpoint deployments where the sensitivity requires it.
Inference and infrastructure costs are estimated per workflow so the running bill never becomes an unpleasant discovery.
You get the code, the prompts, the pipelines and the documentation. Models can be swapped without starting over.
You see the business case before committing to development.
Code, pipelines and prompts are handed over to you.
Accuracy, throughput and hours saved tracked after launch.
A real engineer, usually much sooner.
Common questions
What decision-makers ask us most before starting an AI project.
With the single most repetitive, highest-volume task your team does by hand. That is where automation pays back fastest and where success is easiest to measure. We usually start with an audit that ranks candidate processes by value and difficulty, then pick one to prove the approach before going wider.
Something not covered here?
Bring us the process that costs you the most time. We will tell you what it would take to automate it, what it would save, and whether it is worth doing at all.
No obligation. We scope the business case before anything is built.