● Engagements
Land. Expand. Transform.
We don’t pitch transformation upfront. Every engagement starts with a clear, scoped piece of work that delivers measurable value — and earns the right to do more.
The motion
Three tiers, designed in this order on purpose. Tier 01 lands inside an organization with a single, well-scoped engagement — usually a Trust Audit on a high-stakes workflow. Tier 02 builds the foundational layer that the business should have had on day one of AI deployment. Tier 03 embeds the capability inside operations, where it compounds.
Most clients move through these tiers over 12–18 months. You can also start at any tier — but we recommend starting at 01.
Tier 01 / 0–6 weeks
Rapid Impact
Land with measurable value. Earn the right to do more. Each engagement is fixed in scope, fixed in duration, and built to expose real signal — not produce a slide deck.
3–4 weeks
Flagship entryTrust Audit
A structured evaluation of your AI systems — accuracy, reliability, decision traceability, risk exposure — across real workflows. Outputs include an AI System Map, a Trust Scorecard, root-cause failure analysis, and a 30/60/90 remediation roadmap.
Read more→
2–3 weeks
Workflow Diagnostic
Map current operational workflows that are candidates for agentic enablement. Identify bottlenecks, automation gaps, and the highest-ROI use cases. Output: prioritized opportunities with feasibility and impact.
2–4 weeks
Rapid Prototyping Sprint
Build one or two working agents or copilots integrated into a real workflow. Demonstrate measurable improvement. Replaces POC theater with production-shaped proof.
3–4 weeks
Onshore vs Offshore Efficiency Analysis
Quantify the cost, cycle-time, and quality difference between current offshore delivery and an AI-augmented embedded model. Hard data for the location-strategy conversation.
Tier 02 / 6–16 weeks
Foundation
Build the layer your AI systems should have had on day one. Trust, architecture, data, and the operating-model groundwork that makes everything that follows work.
8–12 weeks
Trust Engineering Implementation
Stand up the evaluation, observability, and quality-gate systems that make AI deployments measurable and controllable. Composite accuracy tracking. Deployment gates. Continuous remediation loops.
6–10 weeks
Agentic Architecture Blueprint
Design the multi-agent orchestration patterns, data and integration layers, model strategy, and governance architecture for your specific operational context.
6–12 weeks
Data & Context Engineering
Fix the substrate. Retrieval systems, vector stores, context quality, data pipelines. The work that makes the agentic layer actually perform.
6–8 weeks
AI Readiness & Operating Model Assessment
Evaluate organizational preparedness across structure, governance, talent, and integration. Output: an AI-Native Readiness Score with a gap analysis and roadmap.
Tier 03 / Ongoing
Transformation
Move from project-based to operationally embedded. The end state: an organization that operates with intelligence as a default — not a feature it bought.
Ongoing
Embedded Techno-Operations Teams
Place small, high-skill, AI-augmented teams inside your operations. Continuous improvement of AI systems alongside the people who use them. The replacement for offshore-heavy delivery.
Ongoing
AI-Native Operating Model Transformation
Restructure how technology and operations work together. Slim platform IT. Operations owns AI systems. Continuous experimentation as the default — not a quarterly initiative.
Ongoing managed service
Continuous Trust & Optimization
Ongoing evaluation. Drift detection. Prompt and model tuning. Governance monitoring. Trust as a managed capability — not a one-time project.
How we deliver
Globally engineered. Locally embedded.
Every engagement is led by a small, high-skill team embedded with your operations. Local presence. Real-time iteration. No translation layers, no time-zone handoffs.
Behind that team sits a global engineering bench — frameworks, tooling, evaluation pipelines, and reusable IP that compound across engagements. Speed where speed matters. Leverage where leverage compounds.
Read the thesis→Start
Pick one workflow. We’ll show you what’s actually happening.
Most engagements begin with a Trust Audit on a single high-stakes workflow — claims, underwriting, customer ops, supply chain. Three to four weeks. Measurable improvement. The right place to start.