Inbox triage & document chase
An agent reads incoming mail, classifies and routes it, drafts replies, and chases missing documents — escalating anything sensitive to a person.
Mach Lilies helps companies move beyond AI experiments by designing, deploying and operating governed agentic workflows — with human oversight, audit-ready controls and measurable operational ROI. Mach speed. Lily craft.
AI can write code. The advantage now is operational execution — getting agents to do real work, safely.
Coding agents are changing the economics of software delivery. But most businesses don't need more prototypes. They need AI agents that work safely inside real processes, connect to existing systems, follow permissions, escalate when needed, and leave a clear audit trail. That is where Mach Lilies helps: we install and operate bounded agents with clear permissions, human approval, and full audit trails.
Five ways we put safe AI agents to work — and keep them governed in production. Engaged together or in stages.
AI agents that complete real workflows across your tools, documents, inboxes and systems — with humans in control where it matters.
Explore agentic operations →A control layer for agent access, actions, logs, approvals, evaluations, incidents and cost — the control tower for production AI.
Explore AgentOps →We audit stuck AI pilots and turn the viable ones into production systems with clear value and controls — or recommend a clean stop.
Explore pilot rescue →Practical governance, risk controls and evidence packs for AI adoption — inventories, oversight and audit-ready records.
Explore AI assurance →Modernise legacy systems faster with AI-assisted engineering and senior human review — agents accelerate, seniors govern.
Explore modernization →A focused, fixed-scope engagement that turns one high-value workflow into a governed, production-ready agent.
In a focused sprint, we identify your highest-value agentic workflows, prototype the strongest opportunity, assess risk and data readiness, and create a production rollout plan with governance built in from the start.
Example agent workflows — illustrative playbooks of the bounded, document- and inbox-heavy work we build for.
An agent reads incoming mail, classifies and routes it, drafts replies, and chases missing documents — escalating anything sensitive to a person.
An agent assembles renewal packs and case files from policy systems and documents, flags gaps and exceptions, and prepares a draft for sign-off.
An agent reconciles invoices, classifies receipts, and resolves routine exceptions in the finance system — routing anything over threshold to a human.
An agent gathers evidence, retrieves internal knowledge, and assembles reporting packs — every source cited and every step logged for audit.
No theatre, no bloated decks. Four movements that take a workflow from manual drag to a governed agent in production.
We find the process where an agent can create value without uncontrolled risk — and agree the success measures.
A narrow, working agent against realistic data and tool calls, evaluated against measurable outputs — not slideware.
Permissions, approvals, evaluations, logs and incident controls — built in before scale, not bolted on after.
We monitor quality and cost, expand scope carefully, and report on the workflow as it runs. The value compounds.
Mach Lilies is a senior, founder-led practice. No account managers, no hand-offs to juniors — the people who pitch are the people who build. We take few clients, on purpose, so each one gets the whole of our attention.
We'd rather ship one exceptional thing than ten forgettable ones.
Every engagement is staffed by principals. The talent is the product.
Clean, documented, owned by you. We engineer our own exit.
Senior and founder-led. The people who scope your agentic workflows are the people who build, govern and operate them.
Sets the agentic operations strategy and leads client engagements end to end.
Owns architecture, security and delivery quality across every agent workflow we ship.
Your first point of contact — scoping the Agentic Operations Sprint and the right first workflow.
Bounded agents, clear permissions, human approval, full audit trail. Control is part of delivery — not an afterthought.
Agents get only the tools and data a workflow needs — scoped, bounded, and nothing more.
High-risk actions pass a person. Agents draft, route, classify and update; people sign off.
Every tool call, decision, escalation and approval is logged — built for audit from day one.
Prompts, models and workflows are tested against known cases before and after every change.
Dashboards for quality, throughput and spend, with model routing so usage stays predictable.
Agents can be paused, rolled back or restricted the moment behaviour changes.
Claude, GPT, Gemini, open-source or private deployments — chosen on cost, privacy and fit.
Documentation, source, runbooks and operational knowledge transfer to your team. No lock-in.
Agentic operations stands on real engineering. The same senior team delivers the foundations — engaged on their own or behind an agent workflow.
LLM, RAG, ML and MLOps — the engineering behind the agents.
↗Custom web & mobile software, built to scale and last.
↗Cloud-native architecture, reliability and the secure agent runtime.
↗Pipelines, warehousing and the AI-ready data foundation.
↗Product UX/UI and the human-approval interfaces that govern agents.
↗Fractional CTO, due diligence, AI readiness and governance roadmaps.
What agentic operations means in practice — and how working with Mach Lilies works.
Mach Lilies is an independent agentic operations and AI engineering consultancy. We design, deploy, govern and operate safe AI agent workflows that perform real business processes — with secure integrations, human oversight, monitoring, evaluation, audit trails and measurable ROI. The same senior team also delivers AI consulting, modernization, cloud, data and strategy.
Agentic operations is the design, deployment and ongoing operation of AI agents that perform real business workflows — bounded systems that read, draft, classify, update and route work across your tools, with human approval for high-risk actions and a full audit trail. It is the difference between an AI demo and an AI workflow that runs in production.
No — and that is deliberate. The strongest production systems are bounded: agents get least-privilege access to only the tools and data a workflow needs, humans approve high-risk actions, and every step is logged. We design for control and human oversight, not uncontrolled autonomy.
It's our flagship engagement: a focused, fixed-scope sprint 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. See the Sprint →
Before we build, we estimate the time saved, error reduction and throughput gain. After launch, monitoring and evaluation track real usage and cost, so the operational impact is measured rather than assumed — and reported back to you.
We build secure, least-privilege connectors into the systems a workflow touches — typically CRM, ERP, email, document storage, ticketing, finance and internal tools. Access is scoped to the specific workflow and nothing more, and every action is logged for audit.
We sell governed AI operations, not billable engineering hours. We're a small, senior, founder-led practice; we build monitoring, evaluation, permissions and human oversight into delivery rather than as an afterthought; we're model-agnostic; and we hand over clean, documented, owned systems with no lock-in.
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, and most engagements begin with an Agentic Operations Sprint.
Tell us about the workflow you want to automate. The more you share, the sharper our first reply — we respond to every serious enquiry within one business day.