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AI consulting and implementation

Put AI to work where it actually pays off.

We find where AI will save your business time and money, prove it with a pilot, then build and support the systems that deliver it.

  • Fixed-price AI audit
  • Pilot before you scale
  • You own everything we build
Illustration of an AI agent answering a customer's WhatsApp question about an order: it understands the request, checks the order system, replies with delivery details and logs the case.

Works with the tools your team already uses

  • WhatsApp
  • Slack
  • HubSpot
  • Salesforce
  • Zoho
  • Odoo
  • Google Workspace
  • Microsoft 365
  • Shopify
  • QuickBooks
  • Twilio
  • Notion
  • Airtable
  • OpenAI
  • Anthropic

Why consulting comes first

Most businesses don't need more AI tools. They need to know where AI pays off.

Work is spread across chats, spreadsheets, inboxes and paper. Automating that mess just creates a faster mess. We map how work really happens, then point AI at the few places that will move the numbers.

Today

Scattered and hard to measure

  • WhatsApp
  • Spreadsheets
  • Email threads
  • Phone calls
  • Paper forms
  • Manual hand-offs

After the audit

A ranked, costed plan

  1. 1Customer request triageStart here
  2. 2Invoice data extractionNext
  3. 3Weekly management reportNext
  4. 4Staff policy assistantLater
How the audit works

What we do

Advice, systems and support. One team.

Start with consulting to find the right opportunity, then let the same team build and run it. Or engage us for a single piece of work.

All 15 services

AI Readiness Audit

Know exactly where AI belongs before you invest.

In two to three weeks we study your workflows, tools and data, and hand you four clear deliverables. Fixed price, and no obligation to build with us.

Workflow map

Example output
1

Request arrives

WhatsApp, email, phone

2

Logged by hand

avg. 2 h delay

Delay AI fit
3

Owner assigned

by a supervisor

AI fit
4

Work done

field team

5

Report written

end of day

Delay AI fit
Get this for your business

Use cases

Where AI makes a difference.

Practical examples from the areas where businesses see the fastest, most measurable returns.

Customer service

What AI can take on:

  • Answer common questions on chat, WhatsApp and phone
  • Sort and route incoming requests automatically
  • Summarise long conversations for your agents

Before

Staff answer the same questions all day and requests sit in shared inboxes.

With AI

Routine questions are answered instantly, day and night, and agents only handle the cases that need a person.

How we work

Five steps from question to working system.

Every engagement follows the same disciplined path, so you see evidence at each stage before investing in the next.

  1. 01Understand the work.

    Discover

    We talk to your team, review your tools and data, and map how work actually flows today.

    InterviewsWorkflow mappingData review
    What you get

    A clear view of where time and money are lost.

  2. 02Choose what matters.

    Prioritise

    We score every AI opportunity on value, effort and risk, and agree the first system to build.

    Opportunity scoringBusiness caseRoadmap
    What you get

    One agreed starting point with a business case.

  3. 03Prove it works.

    Pilot

    We build a working version quickly and test it with real users and real cases.

    PrototypeUser testingSuccess measures
    What you get

    Evidence that the system delivers, before you scale it.

  4. 04Make it part of the business.

    Roll out

    We connect the system to your existing tools, train your team and launch in controlled stages.

    IntegrationTrainingStaged launch
    What you get

    A live system your team actually uses.

  5. 05Keep getting better.

    Improve

    We track results against the starting point and keep improving where the numbers say it is worth it.

    MonitoringCost controlMonthly updates
    What you get

    Measurable returns that grow over time.

Engagement

A clear path from idea to impact.

Each stage is scoped and priced on its own, and you decide whether to continue after each one.

  1. 12 to 3 weeks

    AI Readiness Audit

    Find the opportunities and agree the first system.

  2. 24 to 6 weeks

    Pilot

    Build and test a working version with real users.

  3. 31 to 3 months

    Rollout

    Integrate, train your team and launch in stages.

  4. 4Monthly

    Support

    Monitor, maintain and improve what is live.

FAQ

Questions, answered.

What business owners and operations leaders usually ask on the first call.

Something else? Ask us directly or email labsmazai@gmail.com.

Where should we start if we are new to AI?

Most clients start with an AI Readiness Audit or a leadership workshop. Both are short, fixed-price engagements that tell you where AI fits in your business and what to do first, before you commit to building anything.

Do we need clean data or a technical team first?

No. Part of the audit is finding where your information lives and how usable it is. Many good first projects work with the data you already have in email, spreadsheets and existing systems. You do not need in-house technical staff.

How long does it take to see results?

An audit takes two to three weeks. A pilot usually takes four to six weeks, and that is where you see the first measurable results with real users.

Can you build what you recommend?

Yes. We advise, build, integrate and support. You are also free to take the roadmap to your own team or another provider. The audit is useful either way.

How is work priced?

Audits, strategy work and workshops are a fixed fee. Builds are priced per phase after a scoping call, so you always know the cost before work starts. Ongoing support is a monthly plan you can cancel at any time.

Which AI tools and models do you use?

Whichever fits the job. We work across the leading AI providers and established automation platforms, and recommend based on accuracy, cost and data requirements rather than partnerships.

How do you keep our data secure?

We sign an NDA before any material is shared, deploy in your own accounts wherever possible, and agree data retention and access rules in writing. Security testing is part of every system we deliver.

Who owns what you build?

You do, in full. Code, prompts, data, configuration and documentation are handed over on delivery, with no licence fees or dependency on us.

Find out where AI can help your business.

Book a free 30-minute consultation. We will talk through your goals, answer your questions and suggest a sensible first step, with no obligation.