Get AI Right from the Start

Start with Ask EVE or contact TAG directly. If the decision is small and focused, use the AI Investment Gut Check. If AI may touch a real workflow or system of record, use the AI Readiness Sprint. If several tools, vendors, or workflows are on the table, use the AI Roadmap Clarity Sprint.

Most AI projects stall because the team tries to solve too many problems at once. We start with the top-priority workflow or decision so we can name the trigger, source, decision, action, approval line, and proof before you spend more money.

Only after review. The point is to decide what fits the workflow before you buy more tools. Our decision work is designed to be vendor-neutral, and any referral, reseller, or implementation relationship should be disclosed before it affects a recommendation.

Yes. We review how AI fits your existing stack before recommending a new platform. That includes Microsoft 365, Google Workspace, OpenAI, Anthropic, Salesforce, HubSpot, Slack, Stripe, Zapier, n8n, monday.com, Notion, and similar business systems.

The first paid layer is decision support. We help you make the right AI roadmap, tool, vendor, workflow, or agent decision before implementation. Build, training, or community support can be scoped after the decision is grounded.

You get a clear decision brief or roadmap that names the recommended path, risks, approval line, proof requirements, timeline, and next steps. The output should help you decide whether to build, buy, block, simplify, or pilot.

That is a valid result. If the likely return does not justify the cost, complexity, or risk, we will say so and recommend a simpler next step instead of forcing an AI project.

Most engagements need a kickoff call, access to the people who understand the workflow, and a small set of examples or process notes. We are not trying to create a second job for your team. We are trying to extract the decision clearly and quickly.

Not by default. We start with workflow review, sample artifacts, interviews, and business context. If deeper access is needed later, the access boundary, approval path, and handling requirements should be defined first.

Yes, but the first step is usually stricter. We identify where AI can help, what data it should not touch, who needs to approve the output, and what needs legal, compliance, security, or industry review before anything gets implemented.

We design around source of truth, evidence links, approval lines, human review, and proof requirements. The goal is not to trust an AI answer blindly. The goal is to define where AI can act, where it must ask, and how the business verifies the result.

Buying the tool is usually the easy part. The harder part is knowing which workflow it should touch, what data it can use, who approves the output, what proof is required, and what could go wrong. We help answer those questions before the purchase.

Small or focused decisions usually fit the $2,500 AI Investment Gut Check. Medium workflow decisions usually fit the $7,500 AI Readiness Sprint. Larger roadmap work starts at $15,000 and begins with a $3,000 date-hold deposit.

This first engagement gives you the decision brief. Build or implementation can be scoped after the decision is grounded.

Yes. Training can be scoped after we know the workflow, the tools, the approval rules, and the real risks. We do not want to train people on generic AI tricks if the business needs a specific operating process.

Yes. Choose the service, pay through Stripe checkout, and reserve the date through Trafft. If the service band is wrong, we will flag it before kickoff.

No. TAG provides AI decision support and workflow readiness guidance, not legal, financial, or compliance advice.