OFFERING
AISDLC Advisory & Enablement
Most teams can prototype with AI; few can ship it dependably. AISDLC closes that gap — an AI-native lifecycle with evaluation, governance and model economics built into every stage, from requirements to production.
AISDLC is how we engineer intelligent systems — and this engagement brings it to yours, end to end: from the decisions that shape the system to the machinery that keeps it correct, governed and economical in production.
Because we build these systems ourselves, the advice is grounded in what ships — and the enablement is real engineering in your codebase, not slideware. You are left with practices and reference implementations your team owns.
Inside AISDLC Advisory & Enablement.
Model & architecture strategy
We help you decide build vs buy, open vs commercial, and where fine-tuning earns its place.
Evaluation
We define what “good enough to ship” means, then build the evaluation pipelines and gates that enforce it.
Orchestration & routing
We route work across model tiers so cost, latency and quality are decided per task, not per vendor.
Governance & guardrails
We wire policy, guardrails, traceability and compliance into the lifecycle — audit-ready by design.
Observability & MLOps
Every path is instrumented, so behaviour, drift and cost are measured, not assumed.
Economics
We make model choice an operating decision — the right model per request, at the right cost.
Representative work Evaluation, orchestration and governance for production AI — grounded in AISDLC. See case studies →
How an engagement runs
What working with us actually looks like — the steps, and how we charge for them.
AISDLC assessment workshop
We map how you build today — your lifecycle end to end, from requirement gathering to delivery — and where AI does and doesn't yet fit your process.
Find where it leaks
We pinpoint where evaluation, governance, model-routing economics and observability are missing or weak in your current lifecycle — the gaps that make AI risky or expensive.
Wire it into your lifecycle
We build our machinery into your process and codebase — evals and quality gates, guardrails and lineage, model routing and AI Tokenomics, telemetry — as real engineering, with reference implementations your team owns.
Adopt & own
Your team leaves running it inside their own lifecycle — the practices, the gates and the reference implementations — not a dependency on us.
Starts with a fixed-fee assessment workshop. Enablement is delivered as a scoped, time-boxed engagement; teams that want continued support move to a light advisory retainer.