We don't just advise. We assess, design, and ship AI implementations alongside your team — from readiness audit to scaled rollout.
Before we recommend anything, we map where you are, what you have, and what's actually blocking AI adoption.
Structured evaluation of your data quality, system landscape, team capabilities, and governance gaps. You get a scored report with clear priorities.
Inventory of your institutional knowledge — where it lives, who owns it, how it flows. We identify what should be connected, structured, or retired.
End-to-end view of your data sources, formats, access patterns, and security posture. The foundation for any AI implementation that actually works.
We implement the same technology that powers Lexandro.ai — search across all your documents, connectors to M365, SharePoint, Confluence, Jira, Google Workspace, Slack, CRM and ERP systems, and multi-LLM reasoning with citations.
Explore the platform →Our consultants have shipped AI systems in production. They embed with your team, transfer knowledge, and stay until the change sticks.
Owns the technical blueprint, connector setup, LLM configuration, and production hardening.
Maps workflows, designs the operating model, runs training, and measures adoption across teams.
Ensures data isolation, access controls, audit trails, and regulatory alignment from day one.
Every implementation follows the same procurement-ready security standards we publish on our Security page.
Stakeholders, goals, data and system landscape, constraints.
Future-state blueprint: processes, data, systems, governance, KPIs.
Deliver value quickly; validate assumptions; prepare rollout.
Harden for security, support, and observability; roll out in waves.
AI readiness scorecard with prioritized gaps and recommendations
Knowledge map — inventory of sources, owners, and quality ratings
Data landscape diagram with integration and security annotations
Implementation blueprint: architecture, connectors, LLM configuration
Prioritized roadmap with budget ranges and milestones
Operating model: roles, RACI, runbooks, policies
KPI framework and value-tracking dashboard outline
Change & training plan with adoption metrics
Pilot results report and scale-up playbook