Get Your Team Running on AI Properly. Without the Full Build.

Most teams have already paid for ChatGPT Team, Claude Pro, or a Gemini subscription. Some have all three. What they don't have is a setup that actually fits how they work — the right model picked for each job, prompts tuned to their voice, integrations into the tools they already use, and basic guardrails so the agent doesn't go off-script.

That's what AI Quickstart fixes.

Who it's for

Teams that aren't ready for a full custom-build engagement but know they're not getting full value from the AI subscriptions they already pay for. Smaller shops (often 5–30 people). Teams running a 1–3 month evaluation before committing to a bigger AI investment. Solo founders who need their setup right before scaling team usage. Companies that have tried "let everyone use ChatGPT" and want to graduate to something more deliberate.

What we actually do

We start with a 30–60 minute conversation about how your team works today and what you've already tried with AI. We map your three highest-value workflow opportunities — the same workflow audit we'd do for a full build engagement, just scoped tighter.

Then over 1–2 weeks, we ship:

*Model selection.* The right model for each workflow. Frontier (Claude Opus, GPT-5, Gemini Ultra) for hard reasoning, smaller open models for high-volume routing, off-the-shelf where it fits. No vendor preference for its own sake.

*Working prompts.* Production-grade system prompts and templates for the workflows we identified, tuned to your team's voice and your data. Tested against real examples from your business — not generic templates.

*Tool integrations.* The basic wires into the tools your team already uses — Google Workspace, Slack, Notion, your CRM, your email. Read-access where it makes sense, write-access only where you approve it.

*Basic guardrails.* Output validators, escalation thresholds, prompt-injection defenses appropriate for the scope. Not enterprise-grade — that's a full build engagement — but enough that your team can use the agents in real workflows without surprises.

*Team training.* A 60–90 minute walkthrough with your team so they actually know how to use what we set up. Cheat sheets, prompt patterns to copy, common pitfalls to avoid.

What you get

A working setup on your AI subscription, the prompt library, an integration runbook, and a trained team that can run with it. The whole thing belongs to you — copy it, modify it, take it in-house. There's no Maqro-controlled platform you become dependent on.

What it doesn't include

No custom-built agents (that's the AI Agents service). No Knowledge Hub indexing on your full document corpus (that's the Knowledge Hub service). No CRM-deep automation pipeline (that's CRM Integration). No ongoing operate retainer by default — though you can add one if you want monthly tuning as the underlying models change.

The upgrade path

Many Quickstart engagements stay as Quickstart engagements forever — the team gets working AI, runs with it, doesn't need more. That's fine.

Some graduate. After 1–3 months of using what we set up, the team identifies a workflow that needs deeper automation than prompts can deliver — that's when a Custom AI Build engagement makes sense. The Quickstart audit doubles as the discovery work for the build, so we don't start from zero.

Pricing

Quickstart is a fixed-fee scoped engagement. We quote it during the audit conversation based on the workflows you want set up and the integrations involved. Substantially lower investment than a custom-build engagement, paid up front against a written scope.

Why this works

The single biggest mistake teams make with AI is "let everyone use ChatGPT and hope for the best." It produces inconsistent quality, inconsistent voice, and a long tail of small wasted hours that never become real productivity gains. Quickstart fixes the setup — once — so the team gets actual leverage from tools they're already paying for.