Enterprise AI strategy and execution — by a team that's been inside enterprise systems for 20+ years.
We're not a generic AI consultancy. We've been in your industry, in your stack, for two decades. We know which AI initiatives ship and which ones stall — and why.
The Ultimo x.0 Framework.
Every customer gets their own transformation version. There's no off-the-shelf AI playbook because no two enterprises have the same data, systems, regulatory posture, or operational maturity.
Assess
AI Readiness Assessment + current-state map
Strategize
Sequenced roadmap with ROI per initiative
Build
Prototypes, pilots, production builds
Deploy
Production launch with operational readiness
Optimize
Ongoing tuning, expansion, the next x.1
Six service lines.
Enterprise AI Strategy
What we solve: Most enterprise AI programs are a portfolio of well-meaning experiments — none of them with clear ROI.
What we deliver: Current-state map, opportunity portfolio, sequencing strategy, ROI model, executive narrative.
Typical engagement: 6–12 weeks. CTO/CIO + AI leadership + 2–3 stakeholders.
Legacy-to-AI Modernization
What we solve: Pure-AI startups want to replace. Modernization vendors want to migrate. The third option: layer AI on top without ripping and replacing.
What we deliver: Legacy assessment, AI integration architecture, pilot build, production deployment, hand-off.
Typical engagement: 4-week pilot, then 12–24 week production build.
AI Product Engineering
What we solve: Enterprises with strong engineering cultures want to ship AI products — to customers, partners, ecosystem. Different problem from “use AI internally.”
What we deliver: Product strategy + roadmap, full-stack engineering, ML ops setup, launch + operations, ongoing engineering.
Typical engagement: 6–18 months.
Intelligent Integration
What we solve: Static integration doesn't scale to modern data volumes and schema churn. AI-augmented routing, anomaly detection, auto-mapping.
What we deliver: Architecture review, intelligent integration buildout, monitoring and operations, continuous improvement.
Typical engagement: 12–24 weeks; ongoing improvement.
Predictive Operations
What we solve: Reactive operations is the default. We flip it: anticipate, surface risk, often remediate before customer impact.
What we deliver: Operations data assessment, predictive model build, auto-remediation workflows, team integration.
Note: For SRE-specific reliability, Causum is the productized form.
AI Readiness Assessment
What we solve: Most enterprise AI initiatives launch without an honest assessment of underlying conditions. Then they stall.
What we deliver: Data readiness, systems readiness, team readiness, regulatory readiness — board-presentable written report.
Typical engagement: 2 weeks. Fixed fee. Low-commitment entry point.
Against pure-AI shops and the Big 4.
We've shipped enterprise AI
Many AI consultancies have decks. We have systems running in Fortune 500 production environments — including Causum, our own reliability intelligence platform built from 18+ months of focused R&D.
We don't hide behind theory
“We can do that” is easy. We tell customers what's actually feasible in their environment, with their data, on their timeline.
We stay until production
The hardest part of enterprise AI is the last 20% — operational readiness, change management, sustained value. We stay through that, not just to the demo.
Tell us about what you're trying to do.
30-minute strategy call. No slide deck. A working session — your problem, our questions, our honest read on what's possible.