Artificial Intelligence Applied AI programmes that move from opportunity assessment to production systems.
Business problems solved
— Teams spend hours on repetitive knowledge work — Customer response times are too slow — Data exists but does not inform decisions Capabilities
Generative AI applications Retrieval augmented generation Model evaluation and guardrails AI integration into existing systems Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
Enterprise AI assistant over internal documentation AI-assisted underwriting and review workflowsAI Agents Autonomous agents that take real actions inside business systems, with human oversight.
Business problems solved
— Manual triage of enquiries and tickets — Handoffs between tools break processes — Support coverage limited to office hours Capabilities
Sales, support and voice agents Tool and API orchestration Escalation and approval design Monitoring and quality evaluation Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
AI support agent resolving tier-one requests Recruiting assistant screening and scheduling candidatesBusiness Automation Process automation that removes manual steps across sales, finance and operations.
Business problems solved
— Work moves through spreadsheets and email — Duplicate data entry across systems — No visibility into process bottlenecks Capabilities
Process discovery and mapping Workflow and RPA implementation CRM and ERP automation Integration and exception handling Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
Automated quote-to-invoice workflow Employee onboarding across HR and IT systemsTechnology Consulting Strategy, architecture and roadmaps that connect technology spend to measurable outcomes.
Business problems solved
— Unclear technology priorities — Legacy architecture limiting growth — Uncertainty about AI readiness Capabilities
Digital transformation strategy Architecture and technology audits AI readiness assessment Delivery roadmaps and business cases Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
12-month modernization roadmap for a mid-market group AI opportunity assessment across operationsMicrosoft Dynamics 365 Dynamics 365 implementation, extension and integration around real business processes.
Business problems solved
— CRM data is incomplete or untrusted — Sales and service processes are inconsistent — Finance and operations systems are disconnected Capabilities
Sales, Customer Service and Business Central Custom entities and business rules Data migration and integration Adoption support and training Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
Unified sales pipeline across regions Service desk running on Dynamics 365 with automationPower Platform Power Apps, Power Automate, Power BI and Dataverse used as a governed business platform.
Business problems solved
— Shadow spreadsheets running critical processes — Approvals stuck in inboxes — Reporting assembled by hand each month Capabilities
Power Apps business applications Power Automate workflows Dataverse data modelling Power BI reporting and governance Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
Field inspection app with offline capture Automated multi-level approval workflowSoftware Development Product engineering for SaaS platforms, internal applications and customer portals.
Business problems solved
— Off-the-shelf tools do not fit the process — Products stall between prototype and scale — Technical debt slows every release Capabilities
Product discovery and UX design Web and API engineering Enterprise platform build-out Quality engineering and support Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
Multi-tenant SaaS platform launch Customer portal integrated with core systemsCloud & DevOps Cloud architecture, migration and delivery engineering on Azure and AWS.
Business problems solved
— Unpredictable infrastructure cost — Manual, risky deployments — Limited monitoring and recovery Capabilities
Cloud architecture and migration Serverless and containerised workloads CI/CD pipelines Observability and cost optimization Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
Lift-and-modernize migration to Azure Release pipeline reducing deployment time to minutesData & Analytics Data platforms and reporting that give leaders a single trusted view of performance.
Business problems solved
— Conflicting numbers across reports — Data locked inside separate systems — Analysis arrives too late to act on Capabilities
Data engineering and integration Warehouse and semantic modelling Power BI dashboards and KPI reporting AI-powered analytics Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
Executive KPI dashboard across business units Automated operational reporting pipelineDigital Transformation Multi-track programmes combining strategy, automation, AI and platform delivery.
Business problems solved
— Change initiatives stall after pilots — Technology and operating model out of step — No measurable outcome from investment Capabilities
Transformation programme design Operating model and process redesign Phased delivery and change management Benefit tracking Implementation approach
Discover and assess, design the target state, build in short increments, deploy securely, then optimize against agreed business metrics.
Example use cases
Operations transformation across three business lines Enterprise AI adoption programme with governance