How We Help — CixMindHow

Agent Implementation

For operations managers and CTOs who have a specific workflow that currently requires manual judgment. We design, build, and deploy an AI agent that handles that workflow autonomously for the clear cases and routes edge cases to a human reviewer.

This is the core engagement. Most clients come with a scheduling problem, an invoice follow-up flow, a document classification task, or an intake routing problem. We scope it, build it, test it against real data, and hand it over.

Discovery session to map the current workflow and identify decision points
Scope document describing what the agent handles, what it escalates, and how
Agent design, development, and integration with existing systems
Test run against a sample of real data before production deployment
Deployment support and documentation
One month of included support after go-live

Scope note: the right fit for workflows where decisions follow a recognisable pattern most of the time, with a manageable number of exception types. Not suitable for high-stakes legal, medical, or financial decisions where regulatory oversight is required.

Workflow Automation Audit

For companies that aren't sure where to start. Over two days, we map your operational workflows, identify which ones are strong candidates for automation, and give you a prioritised list with honest assessments of complexity and expected return.

The output is a structured report you can use to make an internal decision — whether that means working with us, working with someone else, or deciding it's not the right moment.

Two half-day working sessions with the relevant team members
Mapping of four to eight operational workflows
Assessment of automation feasibility and indicative complexity for each
Prioritised shortlist with recommendations and caveats
Written report, delivered within five working days of the second session

Scope note: designed as a standalone engagement, not a sales funnel for agent implementation. The report is yours regardless of what you do next.

LLM Integration Consulting

For development teams who are building their own internal tooling and want a second opinion on model selection, prompt design, evaluation approach, or production architecture. This is a consulting engagement — we work alongside your team, not instead of it.

Typically engaged for a defined period (two to six weeks) around a specific question or decision. Common requests: model selection for a document classification task, evaluation framework for a text generation pipeline, review of a prompt architecture before production.

Initial scoping call to understand the specific question or problem
Regular working sessions over the engagement period
Code review and technical feedback
Written summary of recommendations at the end

Scope note: this engagement works best when your team has at least one developer already working on the problem. We advise, review, and pair — we don't take ownership of the codebase.

Ongoing Support Retainer

For clients who have a deployed agent and want a reliable way to handle changes, incidents, and questions without spinning up a new project each time. A fixed monthly arrangement covering a defined scope of support activity.

Genuinely optional — most systems can be maintained by a developer after handover with the documentation we provide. The retainer is for clients who prefer not to hold that responsibility internally.

Monitoring of agent behaviour against defined thresholds
Incident response during business hours
Minor configuration changes and prompt adjustments
Monthly summary of agent activity and any anomalies
Access to us by email for questions during the retainer period

Scope note: does not cover new feature development or architectural changes. Those are scoped as separate engagements.

How an engagement typically works

Brief call

We spend 30 minutes understanding the workflow and whether it's a reasonable fit for automation. If it isn't, we say so here.

Scope document

We write up what the agent does, what it doesn't do, what inputs it handles, what outputs it produces, and what the edge case handling looks like. You review it before any contract is signed.

Build & test

We build the agent and run it against a sample of your real data before it touches production. You see how it behaves on actual cases — not synthetic ones — before approving deployment.

Handover

We deploy, document, and hand over. You own the code. We're available for one month of included support after go-live. After that, you decide whether you want a retainer or prefer to run it internally.

Ready to scope something?

Tell us about the workflow. We'll tell you whether it makes sense to automate and what that would look like.

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