Enterprise AI Solutions & Consulting
Strategy that ends in shipped systems, not another deck.
Enterprise AI solutions fail in the gap between the strategy deck and the first production deployment. Zantise closes that gap: the people who advise on your AI roadmap are the engineers who will build it, so every recommendation is one we're prepared to ship and stand behind.
We start with the P&L, not the technology — which decisions, documents, and workflows carry enough cost or revenue to justify AI, what the data actually supports, and what governance your regulators and customers will demand.
- from kickoff to sequenced AI roadmap
- 4 wks
- from kickoff to sequenced AI roadmap
- advises, builds, and operates — no handoff loss
- 1 team
- advises, builds, and operates — no handoff loss
- median first-year return on automation builds
- 3×
- median first-year return on automation builds
What we build
Where this engagement earns its keep.
AI opportunity assessment
Four-week engagement: we score your candidate use cases on ROI, data readiness, and risk, and return a sequenced roadmap with build costs and payback estimates — not a maturity matrix.
Production RAG & knowledge systems
Retrieval systems over your documents and data that answer with citations, respect access controls, and get measured on answer quality weekly — not launched and forgotten.
Model strategy & fine-tuning
Frontier API, open-weight in your VPC, or fine-tuned for your domain — decided by data sensitivity, latency, and unit economics, with benchmarks run on your tasks, not leaderboard averages.
AI governance & compliance
Policies, audit trails, evaluation gates, and incident playbooks mapped to the EU AI Act, SOC 2, and your industry's regulators — designed into the system, not bolted on for the audit.
Common questions
Asked by every buyer who's been burned before.
How do you choose which AI use cases to pursue?
We score every candidate on three axes: financial impact if it works, data readiness today, and blast radius if it's wrong. The roadmap sequences quick, low-risk wins ahead of the transformational bets that need groundwork.
Can you work inside our compliance constraints?
Yes — it's usually why clients pick us. We deploy in your cloud or VPC, keep data inside your boundary, support open-weight models where vendors are ruled out, and document everything for SOC 2, HIPAA, or EU AI Act review.
What if we already have a data science team?
We embed rather than replace: your team keeps domain ownership while we bring production-AI patterns — evals, orchestration, guardrails — they may not have shipped before. Handover and upskilling are in the statement of work.
What does an engagement cost?
Assessments are fixed-fee. Builds are scoped after discovery and quoted as a fixed range tied to milestones — you'll know the number before we write code, and the ROI math it has to beat.
Tell us what should stop being manual.
A 30-minute scoping call with an engineer — you'll leave with a candid read on feasibility, cost, and whether AI is even the right answer.