AI transformation · Workflows · Data

Put AI to work across your business.

The Wagon Company is an AI consultancy for ambitious brands in the UK. We identify valuable uses for AI, redesign the workflows behind them, and implement reliable agents, automation and data foundations that teams can use, govern and own.

United Kingdom
Abstract white data lines forming a flowing landscape on black
01

AI strategy & readiness

AI consultancy starts with the work, not the model.

Most organisations do not need AI everywhere. We find the repetitive decisions, hand-offs and knowledge gaps where it can improve real work, then agree what success should look like before anything is built.

We map the workflow, exceptions, business context, human review and data it depends on. Then we redesign the process and implement focused AI agents or automation around the people who will actually use them.

The work behind the model matters just as much - integrations, permissions, guardrails and reliable data. When those foundations need work, we build them too, so the result can be trusted, repeated and extended.

The context layer

Give AI agents the company context they need to do useful work.

We connect the evidence scattered across your systems, preserve where it came from and turn it into trustworthy context for people, automation and AI agents.

Evidence lifecycle Capture → context
01Capture

Collect the evidence

Activity arrives from the tools and conversations where work already happens.

02Preserve

Keep the original truth

Every event lands with its source, owner, timing and lineage still attached.

03Resolve

Turn evidence into meaning

Records are normalised, deduplicated and connected across systems.

04Remember

Build usable context

Source-agnostic business memory stays current and ready for retrieval.

Put the context to work

One trusted context layer, shaped around the workflow in front of it.

  • 01AI agents
  • 02Connected workflows
  • 03Automations
  • 04Context packs
01 / Useful

Find the right AI use case

We assess high-volume, repetitive work and map every trigger, hand-off and decision before recommending AI, fixed automation or a simpler process change.

02 / Connected

Grounded in your business

AI agents and automations use the right company knowledge, live data, permissions and guardrails instead of relying on generic answers.

03 / Lasting

Build AI confidence that lasts

We train your team in practical AI foundations - including safe, effective use of Claude and ChatGPT - then leave them with the skills, guardrails and ownership to keep improving the work.

02

AI consultancy services

AI strategy, implementation and data in one team.

We do not stop at recommendations or a proof of concept. Our AI consulting combines workflow design with hands-on engineering, automation, specialist data and business intelligence capability wherever the work demands it.

01
An abstract routing system combining several inputs into one resolved output

AI agents & intelligent workflows

Focused AI systems grounded in your business context and integrated with the right tools, supporting a defined process from research and triage to analysis, decisions and approved action.

02
A chain-reaction machine representing dependable automated workflows

AI automation & workflow transformation

We map business processes, remove needless hand-offs and automate the repeatable parts, connecting people and systems while preserving review, escalation and control.

03
A sculptural data system sorting scattered inputs into structured layers

AI-ready data foundations

Integrations, warehouses and governed data models that give teams, reporting and AI systems a dependable version of the truth.

04
A tactile composition of charts and performance indicators

Business intelligence & decision tools

Useful reporting and decision tools that turn commercial, operational and marketing data into action, not another dashboard nobody checks.

03

How our consultancy works

From AI strategy to a working pilot.

Our AI consultants start with the work that needs to change, define a useful outcome, prove it through a focused pilot, then help your team adopt, own and extend what we build.

  1. 01

    Call

    A quick conversation about the business problem, the people it affects and whether our AI consultancy is the right fit.

    30 min
  2. 02

    Deep dive

    A practical AI discovery workshop to map the workflow, decisions, knowledge, risks and systems behind the opportunity, ideally together in the room.

    1–2 days
  3. 03

    Proposal

    A focused AI implementation plan with clear outcomes, scope, deliverables, guardrails and technical foundations.

    Clear scope
  4. 04

    Pilot

    One valuable AI agent, automation or data use case, built with tight feedback loops and measures agreed before development starts.

    2–4 weeks
  5. 05

    Rollout

    We train the team, refine the workflow, strengthen the controls and scale it where the evidence says it earns its place.

    Side by side
  6. 06

    Handover

    Documentation, process maps, guardrails, operating guidance and walkthroughs, so ownership is genuinely yours.

    No dependency
04

Practical AI questions

Clear answers before the first call.

Straight answers about choosing an AI consultancy and deciding where AI, automation and dependable data can improve real work.

What does an AI consultancy do?

An AI consultancy helps an organisation identify valuable AI use cases, redesign the underlying workflow, build and integrate the system, and measure whether it improves the work. The Wagon Company combines AI agents, automation, connected systems and data foundations rather than treating AI as a standalone tool.

What is practical AI transformation?

Practical AI transformation is the redesign of real operational work using AI, automation, connected systems and dependable data. It starts with a repeatable process and a measurable outcome, then adds technology only where it improves speed, quality or decision-making.

Which processes should be automated with AI?

The strongest candidates are high-volume, repeatable processes with clear inputs, decisions and hand-offs, especially where manual work consumes expensive time or causes avoidable delays. Risky or customer-facing decisions should keep a defined human review point.

When should a business use an AI agent instead of fixed automation?

Fixed automation is best when inputs and rules are stable. An AI agent is useful when inputs vary and the system must choose between approved tools or next steps. Many reliable workflows combine both: deterministic automation for rules, with a bounded agent for variable cases.

What data foundation does an AI system need?

A useful AI system needs trusted source data, clear ownership, current records, traceable lineage and access controls appropriate to the task. That may require integrations or governed data models, but not every workflow needs a new warehouse or a large platform.

How should an AI pilot be measured?

Measure the process before building: time per case, frequency, error or rework rate, cost and user adoption. After launch, compare the same measures and track escalation, exceptions and quality so the team can decide whether to refine, scale or stop the pilot.

How do you keep people in control of AI workflows?

Use scoped permissions, explicit guardrails, review points for consequential actions, audit logs, named escalation paths and reversible steps wherever possible. The AI should prepare or execute bounded work; people should retain control where commercial, regulatory or customer risk is material.

Do you provide AI strategy as well as implementation?

Yes. We identify and prioritise useful AI opportunities, map the workflow and technical requirements, then design and build the working system. Strategy stays connected to implementation, adoption and measurable process outcomes rather than ending with a roadmap or a standalone proof of concept.

Do you provide AI training for teams?

Yes. We train teams in practical AI foundations and the safe, effective use of tools such as Claude and ChatGPT. Training is tied to the workflows people actually own, with clear guardrails, examples and handover material, so adoption continues after the initial consultancy engagement.

Looking for an AI consultancy?

Let’s change how the work gets done.

We can help you assess the opportunity, redesign the workflow and build the AI, automation or data foundation behind it.

The Wagon Company

© The Wagon Company.

Daniel Goodwin

Co-founder · AI & engineering

Daniel Goodwin

RurocDemandlyProfitably

Daniel was VP of Engineering at Demandly, where he built the AI and data platform behind its demand-planning and profitability products - including dozens of integrations across Shopify, Amazon, TikTok and Xero.

Before that he led web development at Ruroc and Enginehawk, working across the Magento replatform, ERP implementation and custom data stack. He now focuses on turning complex business context into reliable AI systems and workflows.

Robbie Thompson

Co-founder · Technology & operations

Robbie Thompson

RurocStudio Underd0gDemandly

Robbie was co-founder and CTO at Demandly, an AI demand-planning startup. Before that he was Technical Director at Ruroc, where he helped scale the business from $1m to $50m in revenue.

He has led transformation across tech, web, data, and mobile, with deep experience redesigning operational workflows, implementing ERP systems and creating resilient technical foundations for fast-growing brands.