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AI Consulting in London

We help organisations understand where AI can make a real difference, cutting through the noise to uncover practical, valuable opportunities. Whether you're exploring AI for the first time or trying to make sense of emerging tools, we'll bring the clarity, structure and strategic direction.

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People sit around a meeting table in a modern office, collaborating with laptops. The scene is photographed through glass with reflections of the external office environment visible.

Why AI Consulting

Find clarity. Unlock value. Build with intention

Not everything needs automating. We will help you identify the use cases that will genuinely improve your business performance. No hype, just grounded, evidence-led recommendations.

Opportunity discovery

We analyse your processes, products and data to identify high-impact AI opportunities.

Capability & tooling assessment

We help you choose the right models, platforms and integrations for your goals, without overengineering.

AI roadmaps & strategy

We create clear plans that align AI initiatives with your business goals.

Pilot planning

We help you design experiments and proofs of concepts that test assumptions before you invest.

Kyan AI Adoption Framework

We help organisations plan AI adoption as a manageable, stepwise journey, mapping where you are today, identifying the next stage that will unlock real value, and delivering each step alongside your team so capability compounds as you go.

  1. Individuals, working in isolation

    Employees using AI tools to accelerate and augment their work output.

  2. Individuals, managing multiple workflows

    Employees working with simple, sometimes multi-step AI skills to automate complex tasks.

  3. Teams, working with agents

    Groups of humans commanding multiple shared company agents and complex connected skills.

  4. Teams, orchestrating agents

    Employees commanding multiple complex agentic systems and integrated workflows, with human in-the-loop for critical tasks and decisions.

  5. Agents, with human oversight

    Validated systems carrying out fully autonomous tasks, with governance mechanisms and observability controls.

AI Adoption Benchmarks

Use these benchmarks to understand where your organisation sits today and what good looks like as you scale AI.

Level 1Silo-ed IndividualsLevel 2Task AutomationLevel 3Human-led Complex AutomationLevel 4Humans & Agentic SystemsLevel 5Autonomous
Productivity & Efficiency
  • Individual staff speeding up simple ad-hoc tasks.
  • AI tools used for repetitive tasks.
  • Processes mapped and low-value tasks identified for automation.
  • Lack of governance and process.
  • Workflows redesigned with AI capabilities.
  • Measurable time savings and reduced manual intervention.
  • Clear governance in place.
  • Complex agentic systems are deployed end-to-end.
  • Multi-step automation in place across key departments.
  • Autonomous workflows handle entire process chains with human oversight at critical decision points only.
  • Deployment velocity is high with rapid iteration.
Employee Adoption
  • Individuals across teams are using AI tools independently.
  • Staff augmenting output with off-the-shelf AI.
  • Structured adoption is sporadic, with pockets of usage across Engineering, Marketing, and Operations.
  • Basic AI literacy training is in place.
  • AI adoption playbooks for every department with role-specific targets.
  • Staff using multi-step AI workflow processes.
  • Compulsory internal training.
  • AI fluency is high in every department.
  • Employees operating as commanders of complex agentic systems.
  • Depth of usage tracked.
  • A high % of staff with certifications.
  • Champions driving continuous capability growth.
ROI / Cost Saving
  • Limited demonstrable savings.
  • Anecdotal reporting on effectiveness.
  • Initial cost savings are implied but not yet visible from reduced manual effort and early automation of repetitive tasks.
  • Automation driving measurable reduction in operating costs.
  • Marketing optimisation and cost-per-output metrics established and benchmarked.
  • ROI is tracked to AI investment with clear attribution.
  • Headcount efficiency ratios materially improved.
  • Human commanded agentic processes gradually replacing outsource.
  • Fully autonomous systems delivering consistent cost efficiencies.
  • Automated mechanisms for managing spend in place.
Revenue Growth / Sales
  • Little explicitly measurable or attributable gains.
  • AI beginning to support sales processes through content generation and faster proposal / sales material turnaround.
  • Early signals of improved customer satisfaction.
  • AI is driving measurable improvements in win rates, sales and client retention.
  • New revenue streams are emerging from AI-enabled service offerings.
  • Revenue growth attributable to AI implementation.
  • New business lines created.
  • Customer satisfaction scores materially improved.
  • Autonomous systems running significant portions of the sales and customer process.
  • Human oversight limited to key decision points.

How we work

Diagnose and define

We start by understanding your workflows, team needs and strategic goals, building a shared picture of where AI can actually move the needle.

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Two people sit across a table in a meeting room, talking through ideas with a laptop open between them and a glass of tea on the table

Why Kyan

We mix strategic thinking with hands on product and engineering experience. That means our recommendations aren't academic, they're built for real teams and real business value

Talk to the team about AI consulting