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Assistant Access to Your Systems: giving an assistant real access without giving it the keys

The useful version of an AI assistant is the one that can see your real data. The safe version is the one that can only see what you decided it could.

Live example The copy-paste job, gone
  • TriggerForm submitted on your website at 21:14.
  • Step 1Validated, deduplicated against the last 30 days.
  • Step 2Customer created in the CRM, tagged by source.
  • Step 3Job drafted, owner assigned by postcode.
  • Step 4Acknowledgement sent to the customer.
  • 0.9sDone. Nobody opened a second tab.

What it actually does

An assistant is given a small set of explicitly defined, permission-scoped tools against your systems, and every call it makes is logged and reversible.

Voice agents, document extraction, retrieval chat over your own material, and assistants with scoped access to your systems. In practice, Assistant Access to Your Systems is the version of that we deploy when a business needs the result rather than a project. Built by us using the Model Context Protocol, with read and write scopes separated and every tool call logged.

Why businesses ask for this

AI is worth buying when it removes a specific, repeated, checkable task. It is worth avoiding everywhere else, and we will tell you which is which.

The people who get the most out of it: teams already using an AI assistant who want it to see real data safely.

  • The repetitive half of a job handled, the judgement half escalated
  • Answers grounded in your documents rather than invented
  • Every automated decision logged so you can read it back

How we build it, step by step

The sequence below is the one we follow on every scoped assistant access build. It is deliberately boring, because the interesting version is the one that breaks in month three.

  1. List exactly which actions the assistant may take, and which it may only read
  2. Put write operations behind confirmation or behind a human
  3. Log every tool call with its arguments and its result
  4. Review the log weekly for the first month
The part most people skip: reading the log. For the first month we review every action the assistant took, with you, and tighten the scopes based on what it actually did rather than what we assumed it would.

What we change before it goes live

A reference implementation is a starting line, not a product. Every one we deploy gets the same treatment:

  • Your numbers, your sender identity and your wording, so nothing reads as generic
  • Secrets moved out of the code and into managed configuration
  • Retries, rate limits and idempotency, so a hiccup never sends twice
  • Structured logging and alerting, so a failure is noticed by us and not by a customer
  • Consent, opt-out and record-keeping built in rather than bolted on
  • Source control, a staging environment and a rollback that takes a minute

Compliance and risk

Two failure modes matter: confident wrong answers, and silent scope creep. We bound what the model is allowed to do, log every turn, and set a hard escalation path to a human.

We set the technical controls up correctly and document what we did. We are not lawyers, and anything unusual about your industry gets flagged in writing so you can take advice on it before launch rather than after.

The technical foundation

Open frameworks running on infrastructure you control, a model provider of your choice, and an evaluation set built from your real cases.

References worth reading before you buy this from anyone:

What it costs

Three ways to buy this, and the honest recommendation is usually the middle one:

  • Starter build, from $2,500 — we build it, hand it over and warrant it for 30 days. Suits a business with someone technical in-house.
  • Managed, from $390/mo — we build it and then own it: monitoring, changes, compliance upkeep and a monthly report. Suits everyone else.
  • Platform, from $2,400/mo — when this is one of several systems and you want them designed as one layer instead of five.

Platform usage is billed at cost on top and itemised on the invoice. There is no margin on it and no minimum spend.

Common questions

How long does Assistant Access to Your Systems take to build?

For a standard configuration, about a week from kick-off to a staging number you can test on, then a few days of live monitoring before we call it done. Anything involving a port of an existing phone number adds one to two weeks of carrier time that nobody controls.

What does it cost to run each month?

Two lines: our managed plan from from $390/mo, and platform usage billed at cost. Usage for this kind of system usually lands between $30 and $300 a month depending on volume. You see both itemised, and the platform account stays in your name.

Do we own it, or are we locked in?

You own it. The account, the numbers, the phone history and the source code are yours, and the foundation is open source. If you take it in-house, we hand over the repository and the runbook and that is the end of the conversation.

What if it breaks at 6pm on a Friday?

It is monitored. Failures raise an alert, the system degrades to something safe rather than silent, and hello@betr.agency is the inbox that answers. That is what the managed plan buys.

Can it work with the systems we already use?

Usually yes. Open frameworks running on infrastructure you control, a model provider of your choice, and an evaluation set built from your real cases. Where a system has no API, we look at whether an export, a shared inbox or a scheduled sync gets you 90 percent of the value for 10 percent of the cost.

Where to next

The product page for this build lists the specification, the timeline and what is included: Assistant Access to Your Systems. If you want to talk it through against your actual process, a scoping call is 30 minutes and costs nothing.

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Builds that pair with this one

Same pattern or same product line, and often bought together.

Want this running in your business?

Tell us what happens today, by hand. We will tell you what it costs to stop doing it.