Generic technology advice is worth what it costs.

Financial Services & Insurance

Where the model has to be explainable to a regulator.

Institutions here have the data maturity to make AI genuinely transformative and the supervisory burden that makes it hard. The binding constraint is rarely capability — it is evidence: showing an examiner how a decision was reached, that it was fair, and that it can be reproduced.

Where we typically work

• Underwriting, claims and credit decisioning with defensible audit trails
• Financial-crime detection with materially lower false-positive rates
• Tokenized assets, collateral mobility and settlement modernization
• Core platform modernization without a migration freeze

Healthcare & Life Sciences

Where the error budget is measured in patients.

Clinical and operational data is abundant and structurally fragmented. The opportunity is enormous and the tolerance for failure is close to zero, which changes how a system must be designed, evaluated and monitored — and who has to sign it off.

Where we typically work

• Clinical documentation and administrative burden reduction
• Prior authorization, coding and revenue-cycle automation
• Interoperability across HL7 / FHIR estates that never quite align
• Supply chain provenance for pharmaceuticals and devices

Manufacturing & Industrials

Where the technology has to survive the plant floor.

Operational technology estates run on equipment older than most software companies, on networks that cannot be casually modernized. Value comes from meeting that reality rather than assuming it away — bridging OT and IT without creating a security exposure.

Where we typically work

• Predictive maintenance and yield optimization on real sensor data
• Quality inspection using computer vision at line speed
• OT/IT convergence with credible network segmentation
• Supply chain visibility across suppliers who share no system

Transportation & Logistics

Where margins are thin and the network is the product.

Optimization problems here are unusually well-posed and unusually valuable — small routing and utilization gains compound across a network. The difficulty is data quality across partners and the operational discipline to act on a recommendation in real time.

Where we typically work

• Route, load and capacity optimization under live constraints
• Demand forecasting and dynamic pricing
• Multi-party shipment provenance and documentation
• Fleet, telematics and driver-facing mobile applications

Real Estate & Built Environment

Where the asset is illiquid and the data is still in a PDF.

Property is the largest asset class in the world and among the least digitized. Title, lease and valuation data sit in documents rather than systems, transactions carry weeks of manual diligence, and ownership structures are exactly the multi-party trust problem distributed ledgers were built for.

Where we typically work

• Tokenized property, fund and receivable structures with clean custody
• Title, lease and diligence document extraction and automation
• Portfolio, valuation and rent-roll data consolidation
• Building performance, occupancy and ESG reporting

Public & Social Sector

Where every user matters, including the hardest to serve.

Public services cannot select their users. Accessibility, resilience on poor connectivity and transparency of automated decisions are not enhancements here — they are the requirement, and they raise the engineering bar rather than lowering it.

Where we typically work

• Citizen-facing digital services built to accessibility standards
• Case management and benefits administration modernization
• Transparent, contestable automated decision-making
• Grant, program and outcome data platforms

Professional & Consulting Services

Where expertise is the product and time is the constraint.

Firms whose economics are billable hours face the most direct exposure to applied AI — and the largest upside. The work is capturing institutional knowledge in a way that raises the floor for every practitioner without diluting what clients pay for.

Where we typically work

• Knowledge retrieval across decades of engagement history
• Document review, drafting and quality assurance at scale
• Proposal, pricing and resourcing decision support
• Client-facing platforms that productize recurring expertise