From AI hype to AI that ships

Turning AI ambition into working solutions

Businesses are racing to get pilots into production to realize the value of their AI investments. When it comes to efficiencies, there is a real momentum to close the gap between executive ambition and operational reality: boards want results, teams want clarity, and users want tools that actually work.

Adoption is the real challenge. Success depends on AI specialists working alongside business teams to understand workflows, choose the right tools, ship something that works, and bring users along with them.

Across financial services, life sciences, and energy, the AI Business Partner model delivers measurable outcomes across productivity, knowledge access, and quality.

Automation and productivity

90% less manual effort through Copilot agents for repetitive tasks
30 hours saved per week with a governance-focused AI agent
30–45 minutes saved per cycle through automated exception reviews
70–90 tax forms completed in one batch through AI-assisted validation

Knowledge and decision support

£1.7m in five-year savings through centralized AI-tagged document retrieval
Response times cut from hours to minutes with a Teams and SharePoint query assistant
Faster access to experts through an AI bot and booking workflow
Faster go/no-go decisions through AI-supported opportunity qualification

Quality and scale

40% better backlog item quality through AI-assisted development workflows
Hundreds of hours saved across 80+ rating models with automated documentation
Lower review burden through onboarding checklist automation and anomaly detection
Case studies drafted in hours, not days with an AI interview and drafting chatbot

How we made the change stick

01
The challenge
Organizations are under pressure to move AI pilots into production and realize value from their AI investments.
Many have the technology in place, but adoption is where momentum often slows. Teams need AI solutions that fit real workflows, work within existing tech stacks, and are easy for users to adopt.
The challenge is not just building AI tools. It is turning AI ambition into practical solutions that people use, trust, and scale.
02
The approach
We embedded Kubrick AI Business Partners within client teams to identify high-value use cases, design the right solutions, and support adoption from day one.
Working alongside business users, our teams mapped workflows, built practical AI agents and tools, and tested them in the environments where they would be used.
The model was built for speed and adoption. AI Business Partners shipped working solutions in weeks, not quarters, then stayed close to the business to help the change take hold.
03
The impact
We delivered 12 AI agents and tools across core business functions, helping teams reduce manual effort, improve decision-making, and accelerate time to value.
The solutions helped cut manual effort by 90%, unlock £1.7m in five-year savings, improve backlog item quality by 40%, and reduce response times from hours to minutes.
More importantly, they helped teams move from AI experimentation to AI adoption, creating practical solutions that could be embedded, used, and scaled.

“
We see the same pattern across clients: the gap between buying a tool and getting value from it is wider than most people think. AI BPs are the bridge
— Simon Walker, Chief Commercial Officer, Kubrick Group