Applied AI Solutions
Turn business knowledge into better decisions.
Connect your data, documents and workflows with practical AI. We help businesses identify valuable use cases, build focused solutions and measure what improves.
Built around your business
Clarity before complexity.
Start with a real operational challenge and a clear way to measure success.
- Make information easier to find
- Reduce repetitive manual work
- Support decisions with traceable evidence
- Keep people in control
A practical extension of our advisory approach
Strategy. Planning. Execution.
Our existing work brings together research, analytics and industry understanding. Applied AI extends this approach to the way businesses access knowledge, manage operations and act on information.
From a research assistant for an investment team to an internal knowledge tool for a growing business, each engagement begins with the people, process and data behind the problem.
What we can help you build
AI with a clear business purpose.
01 / KNOWLEDGE
Enterprise knowledge assistants
Help teams search policies, reports and internal documents using everyday language, with answers linked to their sources.
Measure: Time to find a verified answer.
02 / ANALYTICS
Conversational business intelligence
Let users ask questions about approved business data and explore the results through clear explanations, tables and charts.
Measure: Time from business question to insight.
03 / WORKFLOWS
AI-assisted process automation
Extract information, prepare drafts and route tasks across repetitive workflows, with review before consequential actions.
Measure: Processing time and exception rate.
04 / RESEARCH
Document & research intelligence
Organize evidence from reports and business documents to support screening, comparisons and due diligence.
Measure: Review effort and evidence coverage.
05 / PLANNING
Forecasting & decision support
Explore demand patterns and operating scenarios with models suited to your data, making assumptions and uncertainty visible.
Measure: Forecast accuracy against a baseline.
06 / ADOPTION
AI readiness & implementation
Prioritize opportunities, assess data readiness and define a practical roadmap from a focused pilot to ongoing operation.
Measure: Pilot value and adoption by the team.
From idea to implementation
Start focused.
Prove the value.
A useful pilot answers one business question well before expanding to a larger workflow.
We agree the scope, data access, success measures and review responsibilities at the beginning of the engagement.
Defined scope · Measurable baseline · Human oversight
01 / Discover & prioritize
Discover & prioritize
Map the process, users and costs. Select a use case with a measurable business benefit.
02 / Prepare & prototype
Prepare & prototype
Review data quality and access. Build a focused prototype using approved information.
03 / Validate with your team
Validate with your team
Test accuracy, reliability and usefulness against representative business scenarios.
04 / Deploy & improve
Deploy & improve
Introduce monitoring, feedback and support. Expand when the evidence supports it.
Across the industries we serve
Industry context matters.
Useful AI reflects the way your team works. Potential applications include:
Investment & private equity: research organization and due diligence support.
Manufacturing & FMCG: operations reporting and demand analysis.
Healthcare: internal knowledge search and evidence organization.
Real estate & agriculture: document review and scenario analysis.
Illustrative applications; scope and suitability are assessed for each engagement.
Trust is part of the solution.
Role-based access, source references, evaluation and human review are considered from the start. The right controls depend on the data and decisions involved.
AI outputs support your team’s judgment. Important decisions remain with accountable people.
Where could AI make a difference?
Tell us about a process, a recurring question or a knowledge bottleneck.