A focused engagement that identifies, prototypes and business-cases your highest-value AI agent workflows — then prepares the strongest one for governed production. The clearest first step from AI experiments to agentic operations. Mach speed. Lily craft.
In one focused sprint: map the workflows, prototype the strongest, and leave with a production plan.
The Agentic Operations Sprint is how most engagements with Mach Lilies begin. In a focused, fixed-scope sprint we map your highest-friction workflows, identify where agents can safely act, prototype the strongest opportunity against real inputs, and hand you a production rollout plan with governance, integrations, ROI and risk controls built in from the start. You finish with a working prototype, a clear business case, and a fixed-scope proposal — or a well-reasoned recommendation not to proceed.
A clear sequence from mapping the work to a fixed-scope production proposal.
We interview operators, review tools and classify repeatable work — mapping handoffs and exceptions.
Workflow map & opportunity scorecardWe check source documents, data quality, APIs, identity, permissions and tool access.
Readiness assessment & integration planWe define where the agent can act, where humans approve, and what must be logged.
Control matrix & human-in-loop mapWe build a narrow, working agent against realistic data and tool calls.
Working demo & quality evaluationWe estimate time saved, error reduction, throughput and operational cost.
ROI model & production recommendationWe define the architecture, scope, implementation path and managed-service model.
Fixed-scope production proposalConcrete deliverables, not a slide deck — everything you need to make a confident production decision.
Your highest-friction workflows mapped end to end — triggers, handoffs, exceptions and the manual effort they consume.
Each candidate workflow scored on value, feasibility, data readiness and risk, so the priority is obvious.
An honest assessment of the documents, data, APIs, identity and permissions an agent would need.
Where the agent can act, where humans approve, and what must be logged — the control matrix.
A narrow, working agent built against realistic data and tool calls, with a quality evaluation.
An estimate of time saved, error reduction and throughput — the business case for production.
How the strongest workflow would run in production — integrations, runtime and observability.
The permissions, approvals, logging, evaluation and incident controls the workflow needs to run safely.
A clear, fixed-scope proposal to take the chosen workflow to governed production.
Illustrative only — every Sprint produces this against your real workflows, not these examples.
Value: high · Feasibility: high · Data readiness: medium
Recommendation: prototype first
Value: high · Feasibility: medium · Data readiness: high
Recommendation: strong candidate
Value: medium · Feasibility: high · Data readiness: high
Recommendation: quick win
Value: medium · Feasibility: low · Data readiness: low
Recommendation: hold for now
The Sprint is step one. It's designed to lead into production rollout and managed operation — at your pace.
A focused sprint that maps workflows, prototypes the strongest, and produces a production plan.
Milestone-based implementation of the chosen workflow, with governance built in from the start.
Monitoring, evaluation, cost control and optimisation as the workflow runs in production.
Once one workflow is proven and governed, extend to the next highest-value process.
For leaders who know AI matters but need a safe, evidence-based way to get a real workflow into production.
A focused engagement with a clear start, end and deliverables — not an open-ended retainer.
You leave with something working against real inputs, not a slide deck of possibilities.
The rollout plan includes permissions, approvals, logging and evaluation — built in, not bolted on.
If the strongest opportunity still isn't worth productionising, we'll tell you. Scale or kill, clearly.
You finish with a working prototype, an ROI model, and a fixed-scope rollout plan.
It's a focused, fixed-scope engagement that maps your highest-value AI agent workflows, prototypes the strongest one against real inputs, and produces a production rollout plan with governance, integrations, ROI and risk controls. It's the clearest first step from AI experiments to agentic operations.
A workflow map and AI opportunity scorecard, a data and readiness check, a risk and compliance review, a working prototype with a quality evaluation, an ROI model, a production architecture, an AgentOps governance plan, and a fixed-price proposal to take the chosen workflow to production.
It's deliberately focused — a short, fixed-scope engagement rather than an open-ended project. We agree the exact scope and timeline up front, so you know precisely what you'll receive and when.
Most engagements start with a fixed-scope sprint, followed by milestone-based production rollout and optional managed AgentOps support. We scope and price the sprint to your workflows and share clear, indicative figures before any commitment.
If the business case holds, we move to a milestone-based production rollout with governance built in, and optionally operate the workflow as a managed service. If it doesn't, you'll have a clear, evidence-based recommendation not to proceed — which is valuable too.
Email machlilieslimited@gmail.com with the workflow you want to improve, the systems involved, the current manual effort, and any risk or compliance concerns. We reply to every serious enquiry within one business day.
Tell us the workflow you want to automate, the systems involved, the current manual effort, and any risk or compliance concerns. We reply to every serious enquiry within one business day.
