AI automation

AI automation that saves measurable hours every week

We find the routine in your marketing, sales and operations, build assistants and integrations that handle it, put guardrails around them and train the team — so the result is hours back, not a demo.

Get a proposal

What's included

01

Process audit

Where time goes in your team: repetitive writing, reporting, data entry, replies. A map of candidates for automation with expected savings.

02

Custom AI assistants

Assistants for support, sales replies, content drafting, research and internal knowledge, built on your data and tone.

03

Content and reporting pipelines

Automated drafting of posts, articles, product descriptions and weekly reports, with human review steps.

04

No-code and API integrations

Connecting CRM, email, forms, spreadsheets, messengers and AI models with Make, n8n, Zapier or custom code.

05

Guardrails and data safety

What the assistant may and may not do, review points, data handling and access rules written down and enforced.

06

Team training

Working sessions for the people who will use the tools, plus the live practicum for individual skills.

Who it's for

  • Marketing and sales teams spending hours a week on writing, reporting and data entry
  • Support and operations teams handling the same questions and documents every day
  • Founders who want AI in the business without a large engineering project

What you get

  • Process audit with a ranked automation shortlist
  • Working assistants and pipelines connected to your tools
  • Integrations with documentation and monitoring
  • Guardrails: rules, review steps and data-handling policy
  • Team training and a measurement of hours saved

How the work goes

  1. 1

    Audit

    Interviews and observation of real workflows. A shortlist of automations ranked by hours saved and effort.

  2. 2

    Pilot

    One or two automations built and tested with the team in two to three weeks.

  3. 3

    Roll-out

    The rest of the shortlist, integrations, guardrails, documentation and training.

  4. 4

    Measure and extend

    Hours saved, quality checks and a quarterly review of what to automate next.

Questions

Which AI models and tools do you use?

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We choose per task: ChatGPT, Claude, Gemini and open models where data must stay on your side, plus Make, n8n or custom code for integrations.

Is our data safe?

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We agree in advance what data may be sent to which model, use business plans with no training on your data and keep sensitive documents inside your systems.

Do we need developers on our side?

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No. Most automations are no-code or built by us; we document everything so your team can maintain it.

How do you measure the result?

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By hours saved per week per process, measured before and after, and by quality checks on the outputs.

Get an estimate

Tell us about the task — you'll get a scope and an estimate within one working day.

Describe the task in a few lines. Within one working day you get a reply with questions, a first estimate and the next step.

hello@spectrummedialabs.pro