Core Practice · AI & Automation
Your enterprise platforms
already have AI built in.
Most organisations aren't using it.
Salesforce Agentforce. SAP Joule. Microsoft Copilot for Dynamics. IBM Maximo Predict. The platforms your enterprise already runs are now shipping agentic AI capabilities at a pace that most IT departments and traditional consultancies cannot keep up with. We can.
The Market Signal
The organisations that move from experimentation to scaled agentic AI in 2025–2026 will hold a structural operational advantage for years. Those that wait will spend 2027 paying to catch up. The implementation complexity is real — which is why the gap between intention and deployment is so wide — but it is solvable with the right technical and domain expertise.
Platform by Platform
AI that runs inside
the systems you already own
We don't layer third-party AI tools onto your enterprise stack. We unlock the AI capabilities built natively into the platforms you've already invested in — ensuring you capture their value without adding integration complexity.
Agentforce & Einstein
Salesforce's Agentforce platform enables autonomous AI agents within your Sales Cloud, Service Cloud, and Field Service environments. We implement agents that handle inbound service triage, qualify and route leads, write case summaries, and take action inside Salesforce — reducing manual handling and accelerating response times without replacing your team.
Joule & BTP AI Services
SAP Joule — the AI copilot embedded across S/4HANA, Ariba, SuccessFactors, and the full SAP portfolio — can fundamentally change how finance teams close periods, how procurement teams run sourcing, and how HR teams handle workforce decisions. We configure and extend Joule within your SAP environment, and build custom AI services on SAP Business Technology Platform.
Copilot for Dynamics 365
Microsoft 365 Copilot and Dynamics 365 Copilot are embedded AI capabilities that your organisation may already be licensed for. We implement, configure, and extend Copilot across Dynamics CRM, Finance, Supply Chain, and Field Service — ensuring the AI works within your data governance policies and delivers measurable time savings rather than novelty.
Predict & Monitor
IBM Maximo Application Suite includes Maximo Predict — a purpose-built predictive maintenance AI that ingests IoT sensor data, historical failure records, and work order history to generate remaining useful life estimates and failure probability scores for your critical assets. We implement and tune Predict models for your specific asset classes and operational environment.
Custom Automation
When off-the-shelf
agents aren't enough
Platform-native AI covers 70–80% of enterprise automation needs. For the remainder — complex multi-system workflows, proprietary data models, industry-specific compliance requirements — we build custom agentic pipelines using LLM orchestration frameworks, enterprise-grade RAG systems, and model-agnostic automation infrastructure.
Every custom AI solution we build is designed to run within your existing security perimeter, comply with your data governance policies, and integrate with your enterprise platforms — not around them.
How We Implement AI
AI that delivers outcomes,
not demonstrations
AI Readiness Assessment
Before recommending any AI tool or agent, we assess your data quality, integration architecture, governance maturity, and process standardisation. Poorly prepared data and undocumented processes make AI initiatives fail. We identify and resolve these barriers first.
Use Case Prioritisation
We map your enterprise processes against AI-automatable patterns, score each use case by feasibility, data availability, and business value, and build a prioritised roadmap. We start with the highest-value, lowest-complexity use cases to build evidence and organisational confidence.
Pilot Implementation
The first AI agent deployment is treated as a production-grade implementation, not a prototype — with proper testing, governance controls, and measurable success criteria. We don't believe in proof-of-concepts that never make it to production. We build to scale from day one.
Scale & Govern
Once the pilot proves the model, we industrialise: deploying the governance framework, monitoring infrastructure, and operational playbooks required to scale AI agents across business units without accumulating AI technical debt or compliance exposure.
AI agents for client onboarding, KYC document processing, regulatory reporting automation, and relationship manager productivity within Salesforce FSC and SAP Finance.
Predictive maintenance AI via IBM Maximo Predict and Monitor, autonomous work order generation, quality defect detection, and supply chain demand forecasting within SAP.
Asset health AI for grid and generation infrastructure, regulatory compliance automation, field technician AI assistance, and meter data intelligence pipelines.
AI-assisted proposal generation, contract analysis and deviation detection, resource allocation optimisation, and knowledge management RAG systems for client-facing teams.
Clinical workflow automation, patient record summarisation, procurement AI for medical supply chain, and asset lifecycle management for medical equipment using IBM Maximo.
Agentforce-powered service agents for customer operations, AI-driven inventory replenishment within ERP, returns processing automation, and personalisation pipeline architecture.
Start Without Risk
Your AI readiness assessment.
Free. 30 days. No obligation.
Our free 30-day engagement starts with an AI readiness assessment and a prioritised use case map — specific to your enterprise platforms, your data maturity, and your sector. Two principal-led deliverables. Yours to keep regardless of outcome.