Stop running the business from memory.

Start with Ask EVE or contact TAG directly. If the problem is narrow, use the Revenue & AI Operations Gut Check. If sales, operations, CRM, reporting, or manager cadence are slipping, use the Revenue & Operations Audit. If several workflows, people, tools, or AI opportunities are involved, use the 90-Day Operating Roadmap.

Most AI and operations projects stall because the team tries to solve too many problems at once. We start with the clearest leak 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 hands-on revenue and operations support. We may use diagnosis, roadmap work, training, or AI workflow design, but the public service is not a course or generic AI advice.

You get a clear readout or roadmap that names the operating leaks, risks, approval line, proof requirements, timeline, and next steps. The output should help you decide what to fix, simplify, pilot, or inspect next.

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.

Focused reviews usually fit the $2,500 Gut Check. Broader operating problems usually fit the $7,500 Revenue & Operations Audit. Larger roadmap work starts at $15,000 and begins with a $3,000 date-hold deposit.

The first engagement gives you the readout or roadmap. Build support, staff training, documentation, or fractional support can be scoped after the operating problem is clear.

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 revenue and operations leadership, AI workflow readiness guidance, and decision support, not legal, financial, tax, medical, or compliance advice.