Claude AI Integration Agency

The short answer

Tack Media wires Claude into the systems a business already runs: the CRM, the inbox, the support queue, the reporting layer. We are AI integrators, not trainers. Work covers API integration, tool and connector builds, retrieval over your own documents, review gates and cost control. Engagements start at $5,000 a month.

What we actually do with Claude

Most companies that “use Claude” are using a chat window. That is a personal productivity gain, not a business system. Our work starts where the chat window stops.

• API integration. Claude called from your application, automation platform or a scheduled job, with retries, timeouts, logging and a fallback path when the model is unavailable. Not a script on someone’s laptop.
• Tool use builds. Claude’s tool use runs a specific loop: you define a tool with a JSON Schema, Claude returns a tool_use block, and your code executes the operation and returns a tool_result. The tool functions are ours to write and ours to make safe. That is the actual engineering.
• MCP connectors. The Model Context Protocol is an open standard for connecting AI applications to external systems. We build and host MCP servers that expose your CRM, your product database or your ticket queue to Claude with scoped permissions, so the model reads what it should and nothing else.
• Retrieval over your own content. Product documentation, past proposals, policy documents, transcripts. Chunked, indexed and injected as context so answers are grounded in your material, not the model’s general knowledge.
• Human-in-the-loop design. Draft, route, wait for approval, send. We decide with you which actions are safe to automate outright and which need a person’s name on them before anything leaves the building.
• Cost and rate-limit engineering. Prompt caching, batching, model selection per task. Most of the savings in a production deployment come from here, not from shorter prompts.

What it connects to

Where teams get stuck

Nobody costed the thing before building it. As of 26 August 2026, Anthropic publishes Claude Opus 5 at $5 per million input tokens and $25 per million output, Sonnet 5 at $2 and $10, and Haiku 4.5 at $1 and $5, with the Batch API at a 50% discount and cache reads billed at 0.1x the base input rate. A pilot that costs eleven dollars a month becomes a four-figure line item at production volume if every request re-sends the same 40,000-token system prompt uncached. Anthropic revises pricing, so confirm before you budget.

Rate limits are hit in production, never in testing. Anthropic’s API tiers carry both throughput and spend caps. As of 26 August 2026, the Start tier caps monthly spend at $500 with 1,000 requests per minute, Build at $1,000, and Scale at $200,000. Usefully, cached input tokens do not count toward the input-tokens-per-minute limit on most models, which means a caching strategy buys throughput as well as savings. Hit the spend cap and access pauses until the first of the next month.

Confusion about what happens to the data. This question stops more deployments than any technical problem. Anthropic states that by default it will not use inputs or outputs from its commercial products to train its models, with training occurring only where a customer explicitly submits feedback. That is a different posture from a consumer chat subscription, and it is why we build on the API and put the answer in writing before legal asks.

Automating an action that needed a human. The failure is not a wrong sentence. It is a wrong sentence sent to a customer, or a CRM field overwritten across four thousand records. We scope which actions are reversible, and the irreversible ones get a review step.

How it works — 1, 2, 3

1. Audit and access, week 1 to 2. We map the workflows that are actually expensive in human hours, check what data those workflows touch, and agree the data-handling position. You get a written scope with a cost model attached, before anything is built.
2. Build and connect, week 3 to 8. Tools, connectors, retrieval, prompts and evaluation sets. We run it against real historical cases and show you where it fails, not only where it works. Nothing goes live without a rollback.
3. Run and report, ongoing. Monthly reporting on volume, cost per task, error rate and hours returned. Prompts and tools change as the business changes. We treat this like software in production because that is what it is.

What it costs

Tack Media engagements start at $5,000 a month. What moves the number: how many systems Claude has to touch, whether an MCP server has to be built and hosted, how much of your content needs indexing, whether the output needs regulated review, and how much ongoing operation you want us to own.

Model usage is billed separately by Anthropic and stays on your account. The rates above are as of 26 August 2026 and Anthropic changes them, so our cost model is rebuilt at every renewal. See how we scope this on our automation and AI services page and on AI agent development.

Questions we get asked

Do you train a model on our data?

No. We are integrators, not trainers. We connect the existing model to your systems and ground it with retrieval over your own documents. That gets the same outcome most people mean by “train it on our stuff”, without a training run or the governance that comes with one.

Who owns the account and the code?

You do. The Anthropic account is yours and billed to you. Prompts, tools, connectors and workflows are documented and handed over. If we part ways, you keep a working system, not a black box.

Can we take it in-house later?

Yes, and some clients should. We document as we go and run a handover with your engineers. We would rather be the team that built it well than the team you cannot leave.

Do you work with our existing setup?

Usually. If you already have Claude in the business through a subscription, we build the integration layer around it. If you already run automation in Zapier or Make, we can start there rather than moving everything at once.

What if we are already using ChatGPT?

Fine. We build with both and pick per task. See the ChatGPT integration page. Model choice is an implementation detail. The integration work and the review gates decide whether it holds up.

The bottom line

Claude becomes a business asset when it is wired into the systems where work already happens, with costs modelled, limits respected and a human on the irreversible actions. A chat window is not that. The integration is the job.

For a straight assessment of which workflows are worth automating, book a call with a Tack Media expert or phone 310-620-1141. We will tell you if the answer is no.

Sources

• Anthropic — Claude API pricing
• Anthropic — Claude API rate limits and usage tiers
• Anthropic Privacy Center — Is my data used for model training?
• Anthropic — Tool use overview
• Model Context Protocol — Introduction