AI Consulting in London

Kyan helps organisations uncover where AI will make a real difference. Whether you're exploring AI for the first time or trying to make sense of emerging tools, we'll bring clarity and help you uncover practical, valuable opportunities.

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AI Consulting

Unlock enterprise value with AI

Kyan can help you identify the use cases that will genuinely improve business performance.

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.

Grow faster. Spend less. Work smarter.

Every AI project needs a real business case. We focus on three areas where AI delivers measurable value.

Grow Faster

Better sales tools
New revenue streams
Improved customer experience

Spend Less

Automate manual processes
Replace expensive tooling
Do more with the team you have

Work Smarter

Free people from repetitive work
Faster throughput on key tasks
Teams that adopt AI naturally

Enterprise Value

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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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.

How we work

Prioritise and plan

We map opportunities against value, complexity and feasibility, so you can focus on the work that will deliver real return without overextending.

How we work

Recommend and roadmap

You get actionable guidance, timelines and suggested first steps, framed as a roadmap your team can run with straight away.

How we work

Support and evolve

We stay involved as you move from strategy into real-world delivery, adapting the plan as you learn and as the AI landscape shifts.

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Kyan AI Adoption Framework

Kyan helps organisations plan AI adoption, mapping where you are today and defining the steps that will allow your business to drive real value and scale through AI.

Individuals, working in isolation
Employees using AI tools to accelerate and augment their work output.
Individuals, managing multiple workflows
Employees working with simple, sometimes multi-step AI skills to automate complex tasks.
Teams, working with agents
Groups of humans commanding multiple shared company agents and complex connected skills.
Teams, orchestrating agents
Employees commanding multiple complex agentic systems and integrated workflows, with human in-the-loop for critical tasks and decisions.
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 Individuals	Level 2Task Automation	Level 3Human-led Complex Automation	Level 4Humans & Agentic Systems	Level 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.