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AI agents

An AI agent that takes actions, not just answers questions

We integrate an AI agent into your stack that reads data, drafts replies, updates records and triggers workflows on its own — with guardrails and a human in the loop where it matters. Fixed scope, fixed price.

Fixed priceFrom 10 daysGuardrails built in
10 days
typical build
24/7
agent uptime
7 yrs
on the market
0
actions without a guardrail

What we build

  • Agent reads live data from your CRM, helpdesk or database before acting — not a static script
  • Multi-step actions: qualify a lead, draft a reply, update the deal, notify the manager — one agent, one pass
  • Guardrails and approval steps for anything that touches money, contracts or customer commitments
  • Escalation to a human with full context the moment the agent hits a case it shouldn't handle alone
  • Works with your existing tools — CRM, helpdesk, Telegram, internal APIs — no rip and replace

Answer 4 questions — get a plan and a quote

Usually takes under a minute. No calls unless you want one.

How we work

Audit

We map the decisions and actions worth automating, and where a human must stay in the loop.

Scope

Fixed list of agent actions, data sources and guardrails, signed off before we build.

Build

We build against real data and real APIs, with fallbacks for cases the agent shouldn't decide alone.

Test

We run the agent in shadow mode against real cases before it acts live.

Launch

Go-live with monitoring and an approval step for high-stakes actions.

Support

Tuning, new actions and guardrail adjustments on an SLA.

How the data flows

CustomersTelegram · site · callsAI agent (GPT)knowledge base + rulesCRM & the teamcomplex cases onlyquestionanswer + CRM record

How the numbers move

Typical before → after across our projects.

Time on routine−70%
before
100%
after
30%
Reply time−99%
before
hours
after
seconds
Unanswered off-hours requests−100%
before
100%
after
0

Related solutions

FAQ

How is an AI agent different from a chatbot?

A chatbot answers messages. An agent takes multi-step actions on your data — checks a record, updates a status, drafts a document — and only asks a human when the case calls for it.

What stops it from making a costly mistake?

Guardrails we define together during scoping: approval steps for anything touching money or commitments, and clear boundaries on what the agent can decide alone.

Does it replace staff?

No — it removes the repetitive lookups and updates so your team spends time on judgment calls the agent shouldn't make.

Get a quote

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