Enterprise AI Consulting — Frequently Asked Questions

Depends heavily on scope. A readiness assessment typically takes 2–4 weeks. A focused implementation of a single workflow — from design through pilot — is usually 6–12 weeks. Full-scale programs covering multiple use cases run 6–18 months with phased delivery.

Engagements vary significantly based on scope. Readiness assessments and strategy work are scoped by day. Implementation projects are typically fixed-scope with milestone-based billing. We don't do open-ended retainers for implementation work — you should know exactly what you're buying. Contact us for a scoped estimate.

No. We're vendor-agnostic — we work across Claude, GPT-4, Gemini, Llama, Mistral, and specialized models. We recommend based on your use case, your security requirements, and your existing infrastructure — not our partnership agreements.

Every engagement starts with a security and data scoping conversation. We work within your existing security policies, don't require access to production data for assessment work, and design implementations with the principle that data should never leave your environment unless you explicitly choose otherwise.

Consulting produces insights, frameworks, and recommendations. Implementation produces working AI systems in your actual environment. We do both, but we're implementation-first — the goal is always working software, not slide decks.

Yes — this is standard. We embed with your teams rather than running parallel. Your IT and security teams set the constraints; we work within them.

Data readiness is one of the six dimensions of our readiness assessment. If your data foundation needs work before AI can deliver value, we'll tell you that upfront — and help you prioritize the specific gaps that block your highest-value use cases.

Yes — governance is built into every engagement, not bolted on at the end. We use the NIST AI Risk Management Framework as a baseline and adapt it to your regulatory context.

ROI measurement starts before implementation, not after. We define success metrics — throughput improvements, cost reductions, error rate changes, cycle time — during scoping, and we build measurement infrastructure as part of the implementation.

Manufacturing, financial services, and healthcare are our primary enterprise verticals. We also work across professional services, logistics, and other industries where workflow automation delivers clear operational value.

Large firms bring scale and brand recognition. We bring faster time-to-delivery, genuinely vendor-neutral advice (no platform partnerships influencing recommendations), and hands-on implementation resources rather than project management of subcontractors. We're the right fit for enterprises that have already decided to build and want to move.

Book a consultation call. We'll discuss your use case, your environment, and your constraints — and give you an honest assessment of what a realistic engagement looks like.