AI Automation and Systems

What this is

Most small businesses adopting AI do it the same way: someone finds a tool, builds a workflow, the workflow works for a while, and then it breaks - and nobody can remember what it was supposed to do, who has access to it, what data it touches, or how to fix it.

AI Automation and Systems is the engagement that fixes that pattern at the source. We design, build, and hand off automated workflows and AI agents that solve a real problem in your business - and ship every one of them with the governance scaffolding that makes them defensible six months later.

Every automation we ship is a governed automation. Four artifacts go with the system on Day 1: a tool inventory entry, a data classification mapping, an Acceptable Use Policy entry or amendment, and a runbook with documented kill-switch procedures. This is true of the smallest single-workflow Launch and the largest custom build. It’s the practice that separates a system you own from a system you rent from whoever built it.

The methodology comes from real institutional AI program work - the same governance discipline used to deploy AI at the College of Law. What works inside a regulated academic environment translates directly to the SMB engagements we run.

Three ways to engage

Automation Launch - From $3,500

The entry-level engagement. One well-defined automation, scoped, built, deployed in your environment, and handed over with the governance artifacts and a measurement plan.

Best for businesses that have identified a specific workflow worth automating and want to see what a properly built, properly governed system looks like before scaling further.

A typical Launch covers:

• Discovery and scoping - we map the workflow, identify the data it touches, and confirm the integrations the automation needs
• Design - system architecture, decision points, human-in-the-loop checkpoints, failure modes
• Build-in-mine - we build the automation in our environment, against synthetic or anonymized test data
• Cutover - deployment to your tenancy, with documented readiness checks before we flip the switch
• 30-day stabilization - bugs, broken connectors, anything not behaving as agreed gets fixed under the original engagement fee
• Handoff - runbook, governance artifacts, and training for at least two people on your side

Custom Builds - Contact for proposal

When the work is bigger than a single workflow. Multi-workflow systems, agent-driven processes, integration with systems of record (case management, EHR, accounting, CRMs holding PII), branching logic with multiple human checkpoints.

Custom Builds run on the same governance discipline as a Launch, scaled to scope. Typical timelines are six to twelve weeks. The 30-day stabilization window applies.

When scope demands engineering depth beyond what no-code and low-code platforms can support, we bring in vetted development partners under managed sub-contracting - you stay with one point of contact, and we hold the relationship.

Automation Maintenance - Prices vary by system

Automated systems break. Not all at once, and not always loudly. Platforms update. APIs change. Prompts that worked in March drift in November. A connector silently fails and nobody notices for a week.

Automation Maintenance is the engagement shape that keeps systems working after handoff:

• Issue triage and remediation - when an automation breaks, errors, or starts producing wrong output, you reach out and we work the fix. Standard response within one business day.
• Platform adaptation - when a connected platform releases a breaking change or deprecates an integration, we proactively scope the adaptation work before your automation goes down with it.
• Prompt and logic updates - when the underlying model shifts or the workflow needs to adapt, we update the system.
• Quarterly review - sixty-minute working session every quarter to walk through how the automations are performing, what’s drifted, what’s worth adjusting.
• Light iteration - small refinements that don’t rise to a new build, absorbed into the retainer scope.

How monitoring works depends on the engagement. By default, the automation lives entirely in your tenancy after handoff - platform-native alerting routes failures to your team, you forward issues to us, we respond. This matches our boundary posture and keeps your environment sealed.

Where the right answer is for us to host or directly monitor the system, we scope that explicitly in the proposal - with the access, accountability, and pricing the higher-touch model requires. Most engagements run the default model. Some don’t. We’re honest about which side of that line your system sits on before the proposal is signed.

Maintenance is decided at the proposal stage, not the handoff. Simple workflows often don’t need it. Complex agents almost always do.

Without ongoing support, you own the system. That’s not a threat - for some workflows, it’s the right answer. For others, the maintenance retainer is what keeps a small problem from becoming a project six months later.

How an engagement runs

Every engagement, regardless of shape, runs the same five-phase discipline:

1. Scope - written scope in the proposal, with a defined change-request process for additions. Small changes get absorbed inside stated tolerance; larger ones get quoted before work begins.
2. Build - designed in our environment, against workflow shape and synthetic data. We do not pull production data into GuardXID systems for build work.
3. Stabilize - 30-day window after cutover where issues get fixed under the original engagement fee. Hard end date.
4. Measure - baseline measurement before launch, tracking templates at handoff, a documented method for telling whether the automation is doing what it’s supposed to. We make adoption measurable; you measure it. Fractional and Maintenance clients get us measuring with them.
5. Maintain - only where it’s been scoped. Decided at proposal, not assumed.

Who this is for

You’re a fit if you:

• Run a small or mid-size business between roughly 5 and 150 employees
• Have a real workflow worth automating - repetitive, well-defined, business-critical enough to justify building it properly
• Want a system you can actually own - documented, governed, transferable - not a black box that lives in someone else’s account
• Operate in an industry where the consequences of a misbehaving automation matter (legal, medical, CPA, ag, financial services)

The boundary

We assess the container, not the contents.

GuardXID examines who has access to your tools and what those tools can reach inside your business. We do not read your client files, patient records, or matter documents — and we never will. This is what makes the work appropriate for law firms, medical practices, and any business where the contents of the work are protected by professional duty.

For build work specifically: discovery happens against the shape of the workflow, not the data inside it. Testing uses synthetic or anonymized data in our environment. Production data flows through your automations in your tenancy, not ours. We attempt to build in our environment, deploy to yours, and hand off the keys at cutover. This is the practice that makes the work survivable for regulated buyers.

Human-in-the-loop is non-negotiable. We do not design automations that take consequential action without a human checkpoint, particularly in regulated verticals. The checkpoint is the design feature that makes the automation defensible. It is not something to be optimized away.

What comes after

Automation and Agents is built so that a single Launch can stand alone, but most businesses that engage us once find the work compounds:

• Fractional AI Officer - when build work, governance maintenance, advising, and measurement are all running at once, the Fractional retainer is the cleaner shape. Build work absorbs into the retainer at retainer rates. If you find yourself approving Maintenance hours and Custom Build proposals in the same quarter, we’ll have the Fractional conversation with you directly.
• Compliance Readiness (Vanta partner) - when your automations need to feed into a formal certification effort. The governance artifacts we ship with each automation feed directly into a SOC 2, HIPAA, ISO 27001, or HITRUST evidence base.

What are the business problems preventing you from making sales or closing deals? What are your bottlenecks, or what repeatable mundane tasks are causing you or your employees pain?

Book a free consultation. We’ll talk through the workflow, the data it touches, the systems it reaches, and whether a Launch, a Custom Build, or something else entirely is the right starting point.