Deploy Enterprise AI.
Securely. At Scale.
We work inside your environment to build AI systems, get them through security and risk review, and keep them running once they are live.
- 1,842
- Production deployments
- 9,339
- Models under governance
- 415K
- Inference calls / min
- 100%
- Controls evidenced
Governance status
- Model risk registerCurrent
- Access + data lineageVerified
- Red-team cadenceWeekly
- Regulator evidence packReady
Live workflow fabric
Illustrative- Financial ServicesModel risk automation
- HealthcareClinical document intelligence
- EnergyAsset failure prediction
- DefenseSovereign inference mesh
- ManufacturingQuality vision at line speed
Position
We deploy. We don't advise from the sidelines.
Most enterprises can build a model. What stalls them is everything after: pilots that never clear risk review, architectures a CISO will not sign, governance written once the system is already live.
Our engineers, architects, security leads and governance specialists work inside your organization, in your repos and your change process. We ship the system, then we run it under a service level, with evidence an auditor will accept.
What you get back is a running system, the controls around it, and a team that can keep both alive.
Enterprise capabilities
Twenty-three disciplines. One operating standard.
Advisory through run state, staffed by people who have shipped inside regulated environments.
Advisory
AI Strategy
Board-level AI thesis, value maps and a sequenced portfolio tied to P&L outcomes.
AI Transformation
Operating-model redesign across people, process, platform and controls.
Executive Advisory
Standing counsel for CEO, CIO, CISO and board AI committees.
Enterprise AI Readiness
Quantified diagnostic across data, platform, talent, governance and risk.
Vendor Selection
Model, platform and integrator evaluation with defensible scoring.
Deployment
Forward Deployed Engineers
Embedded engineers shipping production AI inside your environment.
Enterprise AI Office™
A fully staffed AI deployment organization operated on your behalf.
AI Program Management
Portfolio governance, stage gates, and executive reporting cadence.
Platform
AI Architecture
Reference architectures for retrieval, agents, evaluation and observability.
LLM Deployment
Private model hosting, routing, caching and cost control at scale.
Custom AI Platforms
Internal AI platforms with tenancy, policy, audit and self-service.
AI Integration
Connecting AI to core systems: ERP, CRM, EHR, core banking, data mesh.
Agentic AI
Tool-using agents with permissioning, human checkpoints and rollback.
Trust
AI Security
Threat modeling, red teaming, prompt-injection and data exfiltration defense.
AI Governance
Policy, model registry, approval workflow and lifecycle accountability.
Responsible AI
Fairness, transparency and human-oversight standards that survive audit.
Risk Assessments
Model, vendor and use-case risk tiering aligned to enterprise risk frameworks.
AI Compliance
EU AI Act, NIST AI RMF, ISO 42001 and sector regulator readiness.
Operations
Model Evaluation
Golden datasets, offline and online evals, regression gates before release.
Prompt Engineering
Versioned prompt assets, testing harnesses and quality baselines.
AI Operations
SLOs, drift detection, incident response and continuous evaluation.
Managed AI Services
Run-state ownership of AI systems under contractual service levels.
AI Centers of Excellence
Standards, enablement and reusable assets that compound across the firm.
Flagship offering
Enterprise AI Office™
Hand us the whole AI deployment organization. Advisory, engineering, security, governance and operations arrive as one staffed unit with a named lead from week one.
Chief AI Advisor
Sets the enterprise AI thesis and holds the executive relationship.
Forward Deployed Engineer
Ships production systems inside your environment, alongside your teams.
AI Architect
Owns reference architecture, integration patterns and platform standards.
AI Security Lead
Threat models, red teams and certifies every system before release.
AI Governance Lead
Runs intake, risk tiering, approvals and regulatory alignment.
AI Program Manager
Drives the portfolio, stage gates and executive reporting cadence.
Vendor Advisor
Evaluates models and platforms, negotiates terms, monitors assurance.
AI Operations Lead
Owns run-state: SLOs, evaluation, drift, incidents and cost.
Industries
Every sector gets its own architecture.
Each industry practice comes with a reference architecture, the controls that sector's regulators expect, and the evidence pattern that satisfies them.
- 14 weeks · Avg. time to first production use case
Financial Services
AI in banking works where model risk management already exists. The constraint is evidence, not capability.
- 42 min · Clinician time returned per shift
Healthcare
Clinical trust is earned through evaluation rigor, not demos. We build the evidence chain first.
- 35% · Claims cycle-time reduction
Insurance
Underwriting and claims are document problems. AI converts unstructured submissions into decisions.
- 22% · Unplanned downtime reduction
Manufacturing
The value is on the floor: maintenance, quality and tribal knowledge captured before it retires.
- 38% · Contact deflection
Retail
Margin, not novelty. AI earns its place in merchandising, service and supply decisions.
- +44% · Casework throughput
Government
Public-sector AI must be auditable by default and explainable to citizens.
- 5.8× · Analyst tasking speedup
Defense
Mission systems demand determinism, provenance and graceful degradation.
- 29% · Inspection cost reduction
Energy
Asset-heavy operators win with forecasting, inspection and field knowledge.
- 17% · Truck-roll avoidance
Telecommunications
Network operations and care are the two largest AI value pools in telecom.
- 3.4× · Medical writing acceleration
Life Sciences
GxP discipline and AI velocity are compatible when validation is engineered in.
- +21% · Engineering throughput
Technology
Software firms deploy fastest, then hit the hardest governance wall at enterprise sales review.
- 9.2% · Direct booking lift
Hospitality
Guest experience personalization with strict brand and privacy guardrails.
- +11% · Route efficiency
Transportation
Scheduling, safety and asset utilization respond immediately to applied AI.
- 6.4% · Turn-time improvement
Aviation
Airworthiness culture maps cleanly onto rigorous AI assurance.
- -52% · Diligence time
Real Estate
Documents, diligence and portfolio insight are the immediate wins.
- 4.1× more docs · Diligence coverage
Private Equity
AI is both a diligence tool and a value-creation lever across the portfolio.
- -44% · Proposal cycle time
Professional Services
Knowledge is the product. AI compounds it or leaks it, and governance decides which.
- -57% · Advising response time
Higher Education
Institutions need AI that serves students without compromising academic integrity.
- +9.3 pts · Forecast accuracy
Supply Chain
Planning quality improves when unstructured signals join structured forecasts.
- -46% time · Exception resolution
Logistics
Execution networks reward millisecond decisions and precise exception handling.
- -43% · Production cost
Media
Rights, provenance and brand safety determine whether generative AI ships.
- +27% · Fan engagement lift
Sports
Performance, ticketing and fan engagement are all pattern problems.
- 5.1× · Warranty analysis speed
Automotive
From engineering to dealer networks, AI compresses cycles across the value chain.
Interactive
The Enterprise AI Command Center
A working view of enterprise AI: a global deployment map, an adoption heatmap by industry, a maturity assessment you can run on your own org, and the KPIs a board actually asks about.
Enter the Command CenterUse cases
Where enterprise AI actually pays.
Each one comes with the problem it solves, the architecture behind it, the return we have seen, how long it takes to ship, and what security will ask about.
Customer Service AI
Assisted and autonomous resolution grounded in your policies, order data and entitlement rules.
10–14 weeks to production
Sales Copilots
Account-aware copilots that draft, research and prepare with CRM-grounded truth.
8–12 weeks to production
Executive AI Assistants
Secure executive assistants with scoped access to reporting, filings and internal knowledge.
6–10 weeks to production
Legal AI
Clause extraction, playbook comparison and drafting with privilege-aware controls.
10–16 weeks to production
Finance AI
Analyst copilots grounded in the ledger with reconciliation and narrative generation.
12–18 weeks to production
Accounting AI
Automated classification with confidence thresholds and human review queues.
10–14 weeks to production
Procurement AI
Sourcing intelligence and contract-aware buying guidance.
12–16 weeks to production
Cybersecurity AI
Triage, enrichment and response drafting inside existing SOC workflows.
8–12 weeks to production
Threat Intelligence
Automated collection, correlation and briefing generation against your asset graph.
8–12 weeks to production
Evidence
Deployed. Measured. Audited.
Financial Services
From 40 stalled pilots to 9 governed production systems in three quarters.
- Annualized value
- $96M
- Time to first production
- 11 weeks
Insurance
Submission-to-decision cycle cut by more than a third.
- Cycle-time reduction
- 35%
- Ingestion accuracy
- 97.4%
Healthcare
42 minutes returned to clinicians per shift, with zero PHI leaving the boundary.
- Time returned per shift
- 42 min
- Documentation burden
- -31%
Manufacturing
Unplanned downtime reduced 22% across 31 plants.
- Downtime reduction
- 22%
- Plants live
- 31
Insights
Field notes from production.
- StrategyHow Fortune 500 Companies Deploy AI9 min read
- GovernanceThe Enterprise AI Governance Framework10 min read
- DeploymentForward Deployed Engineers, Explained11 min read
- DeploymentDeploying OpenAI in the Enterprise12 min read
- SecurityThe Enterprise AI Security Checklist13 min read
- PlatformChoosing the Right LLM for Your Enterprise14 min read
Next step
Book a working session.
Sixty minutes with a Chief AI Advisor and a forward deployed engineer. We read your environment, name the blockers, and give you the shortest path to a system in production.