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BurTech Solution

AI & Automation

AI agents that do the task, not just talk about it.

An agent is an AI with tools and a job — it can read your inbox, look up a customer, update the CRM, draft the reply and ask you to approve it. We build agents narrow enough to trust, with logs, limits and a human gate where it matters.

At a glance

Starting price
from $5,000
Typical timeline
3–8 weeks
Always included
Written scope, runbook, handover, 30 days of fixes

Platforms & tools

  • Claude
  • OpenAI
  • Gemini
  • n8n
  • Zoho
  • HubSpot
  • Shopify
  • Slack
  • Gmail
  • Notion

If this sounds familiar

  • Repetitive, judgment-light work (triage, lookups, first drafts) eats senior time.
  • Off-the-shelf assistants cannot see your data or act in your systems.
  • Nobody knows what a “black box” AI actually did, or why.
  • Fear of a bot going rogue with customers stops any rollout.

What changes

  • An agent that handles the first pass — with a person approving what ships.
  • Tool access scoped to exactly the systems and actions the job needs.
  • Every action logged with its inputs, outputs and cost.
  • Escalation to a human on low confidence, new situations or high stakes.

What's included

AI Agents, in practice.

  • 01

    Support triage agents

    Classify, look up, draft and route tickets — with the reply held for approval where you choose.

  • 02

    Sales and follow-up agents

    Qualify leads, enrich records, schedule follow-ups and keep the CRM current.

  • 03

    Operations agents

    Order exceptions, inventory checks, supplier emails and status updates handled end to end.

  • 04

    Research and reporting agents

    Scheduled research, summaries and digests written from your live data.

  • 05

    Internal knowledge assistants

    Answers grounded in your documents and systems, with citations.

Narrow agents are reliable agents

The agents that work in production have one job, a short list of tools and clear rules about what needs approval. A support-triage agent that classifies, looks up the order and drafts a reply will run for months without incident. A general “do anything” assistant will not. We design the job first and the model second.

Guardrails are part of the build

Each agent ships with scoped credentials (it can read orders but not refund them, for example), rate limits, a confidence threshold for escalation and an audit log. The approval flow lives where your team already works — Slack, WhatsApp, email or the CRM itself.

Evaluation before and after launch

We assemble a set of real cases from your history and score the agent’s output against what a good human did. That set becomes the regression test for every prompt or model change, so improvements never quietly break something that worked.

How it works

Six steps, one team, measured on outcomes.

Typical timeline: 3–8 weeks. Progress lands in your channel every week.

  1. 01

    Discover

    A 30-minute review of your stack, your numbers and what is manual today. You get a written scope — not a pitch.

  2. 02

    Architect

    Systems designed before code: data flow, integrations, where the human gates sit, and what we will measure.

  3. 03

    Build

    Short sprints in your repositories and accounts. Typed, versioned, reviewable — progress lands in your channel.

  4. 04

    Test

    Shadow runs, edge cases and load. Every pipeline proves itself against real data before cutover.

  5. 05

    Launch

    Deployed behind CI with monitoring on. A runbook and a recorded handover ship with it.

  6. 06

    Improve

    30 days of fixes included, then an optional retainer — one prioritised queue across every service.

Pricing

AI Automation & Systems — starting prices.

Honest ranges from past work. You receive a written scope and a fixed quote before anything begins, and it does not change unless the scope does.

All pricing

Small workflow

$1,500 – $3,000

One trigger, one pipeline, one output — for example enquiry → CRM → follow-up.

  • Scoping call and a written spec
  • Built on your n8n, or ours
  • Error alerts and a run log
  • 30 days of fixes included
Most chosen

Full automation system

$5,000 – $15,000+

Several connected pipelines with human approval gates and reporting.

  • Architecture and data-flow diagram
  • 3–6 pipelines across CRM, email, content and operations
  • Approval gates in Slack, WhatsApp or email
  • Dashboard and weekly digest
  • Runbook and recorded handover

Advanced AI systems

$15,000 – $40,000+

Agents that act inside your tools, voice AI, or models tuned on your own data.

  • Agent design with tool access and guardrails
  • Voice or calling AI with CRM logging
  • Evaluation set and monitoring
  • Ongoing tuning under a retainer

Ready-made

Products that pair with this service.

Built by us, run for you — the productised version of the same engineering.

$4–$5 per blog

Blog Automation

SEO/AEO/GEO articles with links, FAQs and a generated image — published to Shopify, WordPress or a custom CMS on a daily, weekly or monthly schedule.

  1. Topic or schedule
  2. Research
  3. Write & optimise
  4. Image + meta
  5. Publish
Platforms
Shopify · WordPress / WooCommerce · Odoo · Custom CMS (API)
Setup
Done for you
See the workflow →

FAQ

AI Agents — questions.

Still unsure? Ask us directly — one human reply, no sales sequence.

What is the difference between an agent and a workflow?

A workflow follows fixed steps. An agent decides which tools to use and in what order to finish a task. We use workflows wherever the steps are known, and agents only for the parts that need judgment — that keeps costs and risk low.

Can an agent send emails or change records on its own?

Only if you allow it. Every action is either auto-approved, held for a human, or blocked, per rule. Most clients start with everything held and relax the rules once the logs show the agent is reliable.

Which models do you use?

Whichever fits the task — Claude, OpenAI or Gemini — chosen by testing on your real cases. Model choice is a configuration, so it can change as models improve.

How do you measure whether it works?

Before launch we build an evaluation set from real historical cases and score the agent against it. After launch the same scoring runs on a sample of live work.

Related services

Often combined with this.

AI Automation

Replace manual work with AI pipelines that run inside the tools you already use.

Explore

AI Customer Support

Tickets triaged, answered and escalated with a human gate — across email, chat and your help desk.

Explore

AI Sales Systems

Speed-to-lead, qualification and follow-up handled automatically — so your team talks to buyers, not spreadsheets.

Explore

Have a task an agent could own?

Describe it in a sentence — we will tell you whether it is agent-shaped, and what it would take.

Start a ProjectBook a call