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How We Deliver
Practical AI takes more than an AI team. Each part of our approach draws on our process, data, security, change management, and software engineering practices, and can be built on the platforms you already run.
Problem-Led Approach
We start with real business problems, not the technology, so outcomes are grounded in what actually matters to your business.
- Business process improvement: Find and fix the process before adding AI to it.
- Data strategy: Confirm the data behind the problem can support AI.
- AI consulting and strategy: Rank AI use cases by business value, not novelty.
Agent-Augmented Acceleration
We develop agentic solutions that work alongside your teams, not instead of them, with the goal of helping them move faster and work smarter.
- Microsoft Copilot consulting: Copilot and Copilot Studio agents inside Microsoft 365.
- Salesforce Agentforce: Agents for sales, service, and customer workflows.
- AI-augmented development: Pair AI agents with engineers to modernize legacy code.
- People and change: Plan adoption from the start so agents become part of daily work.
Intentional Solutions
We create intentional solutions by tailoring them to your unique context, constraints, and goals, rather than forcing a one-size-fits-all approach.
- AI governance: Policies and oversight sized to your risk tolerance and goals.
- Governance, risk and compliance: Fit AI risk to your regulatory obligations, using frameworks like NIST AI RMF and ISO 42001.
- Microsoft security and compliance: Agent 365, Entra Agent ID, and Purview, configured for your Microsoft environment.
- Data governance: Control what AI can access based on your data’s sensitivity and use.