10yrs in AI-first businesses · 75% AI adoption increase · £185K capacity gained on a single workflow

Mapping AI use cases on a whiteboard at a Sharp Insights hackathon with Mercedes-Benz Vans UK
For business leaders

Turn AI investment into team-wide adoption.

For business leaders rolling out AI across non-technical teams. We act as your AI adoption partner, applying behavioural science to redesign workflows, build internal capability and turn investment into measurable return.

Skilled teams Embedded workflows Increased capacity Commercial impact
SMEs and Enterprises we’ve partnered with
Mercedes-Benz Vans UK MPA GrantTree Belvoir School of Artisan Food WSP Dual Pumps Speedway

Most leaders we work with have made the AI investment, but adoption is uneven: a few users running ahead, the rest of the business carrying on as before, and pilots that never quite scale.

We take a people-first approach to AI rollouts. We start with the team, their processes and data, and where AI is already in use or could help. From here, we co-create workflows and build internal capability so AI becomes part of everyday work.

A decade inside AI-first businesses, applying behavioural science enabling tech.

Where we work

Where AI makes the biggest difference

01

Marketing & content

Use cases

Content drafts · Campaign concepts · Newsletter ops · SEO research · Audience analysis

Tools

Claude · ChatGPT · CustomGPTs · prompt libraries

Examples

MPA · GrantTree · School of Artisan Food

02

Operations & customer experience

Use cases

Process redesign · Customer journey audits · After-sales · Reporting

Tools

Microsoft Copilot · agentic AI · n8n · workflow mapping

Examples

Mercedes-Benz Vans UK · WSP · Speedway

03

Leadership & capability

Use cases

AI policy · Champion networks · Capability building · Governance

Tools

AI literacy training · policy frameworks · Claude · MCP

Examples

MPA · Belvoir

How we work with your tech

Stack-agnostic by design

01

Upskill the team on the daily AI tools

Foundational training in the AI assistants that sit inside your workspace, and how teams collaborate using them. Not standalone apps, the AI the business is already paying for.

ExamplesMicrosoft Copilot · Claude · ChatGPT · Gemini
02

Combine tools into one workflow

Multiple AI tools working together in one workflow, sharing data and outputs so the team is efficient and consistent.

ExamplesNanobanana + Gemini · Cross-platform workflows · Shared-data flows
03

Connect tools through APIs and MCPs

Custom integrations and bespoke agents that create new ways of working. Capabilities your stack didn’t have on its own.

ExamplesMCP connections · API workflows · Custom agents
Where you are today

Strategic AI adoption: people, processes and data first

01 · Starting

Don’t know where to begin

You know AI matters and you know you’ll fall behind if you don’t move. You just don’t know what ‘starting properly’ looks like, or who to trust to tell you.

Diagnostic + Roadmap
02 · Licensing

Licensed, not adopted

You bought Copilot, Claude or ChatGPT. The team isn’t doing much with them. The rollout didn’t start with the problem the tools were meant to solve.

Diagnostic + Roadmap · Training
03 · Piloting

Pockets of AI, no pattern

Clusters of AI use across the business. All scattered, all small-scale. Nothing joined up, no way to tell what’s working, and nothing you can scale to the rest of the team.

Diagnostic + Roadmap · Co-creation
04 · Scaling

Uneven across the team

Some people are building agents. Others are still using AI for the odd email. You want the team levelled out so adoption is consistent, and so the early adopters aren’t pulling the rest of the business along behind them.

Training · Co-creation
05 · Embedding

Used daily, but not strategically

Your team is capable and uses AI daily. But it’s still individual productivity: a faster way to do the same tasks. It hasn’t changed how the business runs or decides. You want it built in, not running alongside it.

Co-creation
How we can work together

Our services

01

Diagnostic + Roadmap

From £4,000

We’ll come into your business, listen to leadership and the teams, surface where adoption is and isn’t present, and deliver a bespoke roadmap with three to five named opportunities.

  • Discovery and listening across the team
  • Process and workflow mapping
  • Written roadmap with prioritised opportunities
  • Bridge into training, co-creation or embedded delivery
02

Training and workshops

From £5,500

Building AI literacy that holds beyond the room. Practical training tailored to your team’s tools, data, and use cases.

  • AI fundamentals workshops
  • Tool-specific training (Copilot, Claude, GPT, Gemini)
  • Six Thinking Hats sessions for use-case discovery
  • Champion network design and enablement
03

Co-creation and embedded delivery

From £5,000

We build the tools with the people who’ll use them. CustomGPTs, internal agents, and workflow automation, all co-designed with the team so they actually get used.

  • CustomGPT and agent design
  • Workflow automation and integration
  • Innovation processes for ongoing AI work
  • Adoption measurement and review
04

Quarterly retainer

£450 per quarter

A standing 1.5-hour meeting with leadership every quarter, plus ongoing monitoring of the AI landscape and the tools your team uses. Keeps leadership current on AI and ready to make strategic decisions.

  • 1.5-hour quarterly leadership meeting
  • Monitoring of AI tools and trends
  • Flagged developments throughout the quarter
  • Updates on where the market is heading

Who you’ll work with

Dr Chloe Sharp and Simon Sharp

We work with leadership teams adopting AI across the business: automotive, AI B2B SaaS, professional and financial services. We’ve been at this since ChatGPT launched: using AI in our own work, building our own AI products, and helping leaders find their footing. Most know AI matters; they’re struggling embed it consistently. We start with your people, processes and data, to see where AI fits best.

Chloe brings the methodology: PhD in psychology, behavioural science and sociology; author of Make Products That Matter; Innovate UK Assessor; ILM7 coach; angel investor. Simon brings the enterprise implementation: 11 years at Mercedes-Benz UK, building processes that touched thousands of vehicles across the dealer network, plus shipping Sharp Insights’ own AI products.

Chloe’s LinkedIn → Simon’s LinkedIn →
Dr Chloe Sharp and Simon Sharp, co-founders of Sharp Insights
In their own words

What leaders say

Automotive · Hackathon
“Since the hackathon, we’ve done some lunch and learn sessions, with F2F and remote participation, and I’ve definitely seen more people using AI. Someone in my team recently created a Dealer survey using AI, so it’s great to see people using it in a more positive way.”
Guillermo Coello
Head of Service Quality, Vans, Mercedes-Benz UK
Professional services · CustomGPT
“We co-developed a CustomGPT tailored to support the content generation and re-purposing process. This has transformed how we work as a team, increasing our capacity to meet the demands of a growing business. What used to take hours can now take minutes, allowing our marketing team to focus on higher-impact activities and creativity rather than repetitive content drafting.”
Lucy Sanderson
Group Marketing Manager, MPA
Professional services · Workshop
“Using the Six Thinking Hats framework, we explored AI’s opportunities and risks, identifying real use cases tailored to our needs. The day ended with an individual pledge to start using ChatGPT. We left feeling ready to start using AI by the end, and we started to see the use of AI after the workshop across the business.”
Nicky Johnson
CEO, GrantTree

What the evidence says

Adoption fails on culture, not on tooling

67%

of reported AI impact comes from organisational factors: culture, manager support, talent practices. Twice the share of individual factors.

24%

of leaders say AI is deployed organisation-wide. The rest run pilots and partial rollouts, with licences paid for but adoption patchy.

88%

of organisations now use AI in at least one function, up from 78% in 2024. Most are not yet seeing the gains they expected.

Microsoft Work Trend Index 2025 and 2026 · Stanford HAI AI Index 2026

Adopting the latest AI technology and tools is only the first step. The biggest challenge, and the most critical factor for success, is people.

Google Cloud, Business Trends Report 2026

Let’s talk.

Book a 30-minute call