AI Strategy & Advisory
Decide where AI is worth the investment
Start here if leadership wants a plan, but the priorities, the business case, or the risks are open.
Explore this serviceASC helps organizations identify where AI can create measurable value, develop solutions around their data and workflows, and put them into everyday use. One team connects business strategy, engineering, governance, and adoption.
Capabilities
Deployed on



A Swiss wealth manager runs eight banks on one platform, with reconciliation cut from 40 hours a week to 15 minutes a day.
Read the case studyRicoh shortened its sales cycle by 40% and tripled qualified pipeline with a conversational sales agent.
Read the case studyA Hong Kong recruiter shortlists a role in under ten minutes, across seven thousand CVs a month.
Read the case studyAn architecture firm cut pattern search time by 45% with visual search at 95% match accuracy.
Read the case studyTake one, or take them in sequence. An advisory engagement can stand alone, and its answer can be to build, buy, adapt, or defer.
Decide where AI is worth the investment
Start here if leadership wants a plan, but the priorities, the business case, or the risks are open.
Explore this serviceThe governed data foundation AI depends on
Start here if your data is scattered, hard to trust, or not ready to support AI.
Explore this serviceBuilt on your data, integrated with your systems
Start here if you know the use case, and off-the-shelf tools do not fit your data or workflows.
Explore this serviceA working product in front of real users
Start here if you want to test an idea with real users before committing to a full build.
Explore this serviceWe connect business priorities with the data, engineering, and organizational change needed to deliver them. Consultants and engineers work together from the first assessment through deployment and ongoing improvement.
AI consulting
Decide what to build
Opportunity assessment and prioritization
Business case and AI roadmap
Workflow redesign and adoption planning
Training and rollout readiness
Business value tracking and improvement
Investment planning and governance
AI development
Build it and run it
Workflow, data, and feasibility assessment
Solution design and validation plan
Prototype and solution development
Integration and production deployment
Monitoring, maintenance, and model evaluation
Expansion across teams and business units
One team sets the direction, builds the system, and keeps it running.Governance and adoption
Controls, review gates, and adoption planning run through every stage
Discover
Opportunity assessment and prioritization
Leadership workshops that rank where AI can create value and settle on a priority.
Workflow, data, and feasibility assessment
A hands-on review of real workflows and the data behind them, scored for feasibility.

One team sets the direction, builds the system, and keeps it running.
Governance and adoption. Controls, review gates, and adoption planning run through every stage.
Discover
AI consulting
Opportunity assessment and prioritization
Leadership workshops that rank where AI can create value and settle on a priority.
AI development
Workflow, data, and feasibility assessment
A hands-on review of real workflows and the data behind them, scored for feasibility.
Define
AI consulting
Business case and AI roadmap
The expected value, and a phased roadmap that sequences the work and the spend.
AI development
Solution design and validation plan
The technical architecture for the first build, with measurable success criteria.
Develop
AI consulting
Workflow redesign and adoption planning
Process redesign and stakeholder communication, so adoption holds after launch.
AI development
Prototype and solution development
A working prototype proven on live data, then production-grade engineering.
Deploy
AI consulting
Training and rollout readiness
Capability building, so the people using the system are ready on day one.
AI development
Integration and production deployment
The system goes live, wired into the tools your teams already run.
Operate
AI consulting
Business value tracking and improvement
Performance measured against the targets you set, and the next improvements chosen.
AI development
Monitoring, maintenance, and model evaluation
Operations, evaluation, and retraining as your data and your business shift.
Scale
AI consulting
Investment planning and governance
Long-term advisory on where to invest next, with the governance to match.
AI development
Expansion across teams and business units
A pipeline of new use cases, rolled out across your business units.
Your project starts from components ASC has already built and run, and draws on active research with academic and industry partners.
ASC products
Beacon
Enterprise AI agent platform: build, run, and govern.
Flagship

SenLab research
ASC products
Client work
A selection of where ASC has delivered. The same approach applies wherever work runs on data, documents, and decisions.
Integration, evaluation, and operation are part of the build, not a later phase.
The consultants who set the priorities stay through implementation, alongside the engineers building the system.
Accelerators, models, and pipelines carry over from earlier work, and SenLab research feeds what comes next.
The code, models, and data assets built for you are yours. ASC accelerators, ASC products, and third-party components keep their own terms.
Sponsors become internal champions, and one working system becomes a portfolio.
A first conversation covers the problem you want solved, whether AI fits it, and a sensible next step. You do not need an engineering team in place.