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AI consulting and development

ASC 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.

A single pale edge rising out of deep blue shadow
Clients served
60+
Clients served
Countries delivered into
10+
Countries delivered into
Client retention
92%
Client retention
Certified information security
ISO 27001:2022
Certified information security

Capabilities

  • Machine learning
  • Computer vision
  • Natural language
  • Speech
  • Generative AI
  • Data engineering
  • MLOps
  • Agentic systems

Deployed on

  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
Who we are

60+
Clients served worldwide
10+
Countries delivered into
92%
Client retention
  • United States
  • Canada
  • Spain
  • Switzerland
  • Germany
  • Hong Kong
  • Korea
  • Japan
  • Australia
Our services

Four services, one delivery model.

Take one, or take them in sequence. An advisory engagement can stand alone, and its answer can be to build, buy, adapt, or defer.

Scroll to move across
FeasibilityBusiness valueBuildBuyAdaptDefer
01Advisory

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.

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Warehouse / LakehouseETL / ELT PipelinesTransformation (dbt / SQL)Data Quality & GovernanceAnalytics & BI
02Delivery

Data Engineering & Analytics

The governed data foundation AI depends on

Start here if your data is scattered, hard to trust, or not ready to support AI.

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Your dataYour systemsDocumentsRecordsEventsCRMERPService deskAI modelEvaluated and monitored
03Delivery

Custom AI Development

Built 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.

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LiveSprint MVPValidated PrototypeProduction-Path
04Execution

AI Prototyping & MVP Development

A 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.

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Our approach

We 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.

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

Products and research

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

Industries

A selection of where ASC has delivered. The same approach applies wherever work runs on data, documents, and decisions.

Why ASC

Engineering that continues after the model works

Integration, evaluation, and operation are part of the build, not a later phase.

Two people working through a system diagram on a whiteboard

Your strategist is still in the room at launch

The consultants who set the priorities stay through implementation, alongside the engineers building the system.

Each build starts further along

Accelerators, models, and pipelines carry over from earlier work, and SenLab research feeds what comes next.

Clear ownership from the start

The code, models, and data assets built for you are yours. ASC accelerators, ASC products, and third-party components keep their own terms.

White buildings with a repeating grid of windows

The first project is rarely the last

Sponsors become internal champions, and one working system becomes a portfolio.

Get started

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.

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