The short answer Ask three questions: what systems have you integrated before, what happens when the model gets it wrong, and who owns the code. An agency that cannot answer all three in specifics is selling you a chat window. Look for named workflows, a baseline metric and a kill date. What actually drives the number AI integration.
The short answer
Ask three questions: what systems have you integrated before, what happens when the model gets it wrong, and who owns the code. An agency that cannot answer all three in specifics is selling you a chat window. Look for named workflows, a baseline metric and a kill date.
What actually drives the number
AI integration quotes vary by 10x for the same brief. Four things explain almost all of the spread.
Who is doing the work. Published 2026 rates put enterprise consultancies at $300 to $600 an hour, boutique firms at $150 to $300, and offshore AI-first shops at $22 to $50, according to Groovy Web’s 2026 rate guide. The rate tells you almost nothing about the outcome. What matters is whether the person writing the integration has ever touched your CRM.
Scope shape. Same source: a single-use-case proof of concept runs $20,000 to $50,000 over four to eight weeks. A production system pulling from multiple data sources runs $50,000 to $100,000 over two to four months. If an agency quotes you $8,000 for “AI transformation,” they are selling prompts.
Vendor authenticity. Gartner estimates only around 130 genuine agentic AI vendors exist among the thousands using the label, a practice it calls agent washing. Many are rebranded chatbots and RPA. The same analysis predicts over 40 percent of agentic AI projects will be canceled by the end of 2027 on escalating cost and unclear value.
Whether anyone measured the before. MIT’s NANDA review of more than 300 publicly disclosed AI initiatives found only about 5 percent of integrated pilots extracting measurable value against $30 to $40 billion in enterprise spend, as covered by Virtualization Review. The failure mode was not model quality. It was systems that never learned from feedback and were never held to a number.
| Ask this | Good answer | Walk away |
|---|---|---|
| What have you integrated? | Names the CRM, the phone system, the billing platform | “We work with all the major platforms” |
| What is the baseline metric? | Proposes measuring before you build | “You’ll see the impact right away” |
| What happens on a bad output? | Describes fallback, human review, logging | “The model is very accurate” |
| Who owns the code and the prompts? | You do, in your repo, in writing | Hosted on their platform only |
| What is the kill criterion? | A date and a number agreed up front | “We’ll keep iterating” |
How to tell which applies to you
Three situations, three different hires.
You have not changed a workflow yet. Do not hire an integration agency. Buy seats and redesign three tasks first. That is $500 to $2,000 a month for most small teams. Adoption is still early: the U.S. Census Bureau put overall business AI use between 17 and 20 percent from December 2025 through May 2026, and under 20 percent for firms with four or fewer employees. You are not late.
You have one workflow with a dollar value and two or more systems that need to talk. This is the integrator’s job. Hire for integration experience, not AI branding. Ask to speak to a client whose systems match yours.
You need a novel model, not a connected one. That is a data science hire or a specialist firm, and the budget starts at six figures. Most small businesses never need this. If an agency pushes you here, ask why an off-the-shelf model will not do.
The self-test: write down the workflow, the current cost in hours, and the number you want to move. If you cannot fill in all three lines, no agency can save the project. Budgets are already tilting this way. Gartner’s 2026 CMO Spend Survey of 401 marketing leaders found 15.3 percent of marketing budgets allocated to AI while only 30 percent of organizations rated their AI readiness as mature.
What we’d do
TACK™ is an AI integrator, not an AI trainer. We do not run workshops or sell a course. We connect the tools you already pay for to the systems where revenue actually moves.
Our process on every engagement: name one workflow with a countable dollar value. Instrument the baseline before writing a line of code. Build against your real data, not a demo set. Run it in parallel with the human process for 30 days. Then scale it or kill it, on a date agreed in the SOW. You own the repo and the prompts.
We have been at this since 2009, across 300+ brands, 15+ industries and 50+ systems built. Engagements start at $5,000 per month, and integration work usually sits alongside the paid media and conversion program it feeds. See what we build.
Common mistakes
Hiring on demo quality. A polished demo runs on clean sample data. Yours is not clean. Ask the agency to demo against an export of your own records before you sign. Cost of skipping this: a $50,000 build that stalls on data mapping and needs another $15,000 to $25,000 to finish.
Letting the agency host everything. If the prompts, the logic and the integration all live on the vendor’s platform, your switching cost is the whole project. Get ownership in writing. Cost of skipping this: rebuilding from zero, which is the full original fee again.
Approving a pilot with no end date. This is the single most common way money disappears. A pilot with no kill criterion runs until someone loses patience, which is why over 40 percent of agentic projects are forecast to be canceled outright. Cost: $20,000 to $50,000 and two quarters.
The bottom line
The right AI integration agency will talk about your systems and your numbers before it talks about models. The wrong one leads with the model. If nobody has measured the workflow you are about to automate, fix that before you sign anything.
Bring us your workflow and we will tell you on the call whether it is worth building. Book 20 minutes at calendly.com/tack-media-agency/talk-to-an-expert or call 310-620-1141.
Sources
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