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AI Solutions: Practical AI for the work that slows your team down.

We find the repetitive work slowing your team down, automate it with AI and the tools you already use, and keep people in charge of every decision that matters.

Book an AI workflow assessment Try the Opportunity Explorer

In plain terms

What are AI solutions for business?

AI solutions are software systems that use AI models to read, classify, summarise, draft or decide within a defined business process — for example qualifying leads, answering customer questions from your own knowledge base, or preparing reports. Witty designs these systems around a specific workflow, connects them to your tools, and keeps people in charge of the decisions that matter.

Most businesses do not need “an AI strategy”. They need fewer hours spent copying data between systems, faster replies to customers, and reports that write themselves. We find those opportunities, build the smallest useful version, measure it, and expand what works.

What we build

Six ways we put AI to work

  • AI automation

    Remove the repetitive admin that eats your team’s week.

    • Workflow automation
    • Repetitive administrative tasks
    • Lead qualification and routing
    • Automated reporting
    • Cross-platform workflow orchestration
    • CRM and business-system integrations

  • AI agents

    Multi-step agents that research, process and prepare — then hand over.

    • Business-specific AI agents
    • Research and information-processing agents
    • Customer support assistants
    • Internal knowledge assistants
    • Lead research and qualification
    • Multi-step workflows with human oversight
    AI agents & automation

  • AI-powered customer experiences

    Faster, more helpful answers for your customers — grounded in your content.

    • Website AI assistants
    • Conversational interfaces
    • Intelligent customer support
    • Product discovery and recommendations
    • Knowledge-base assistants

  • AI content & marketing systems

    More consistent content, with editors in control of every word.

    • AI-assisted content workflows
    • Social media production systems
    • Content repurposing
    • Marketing workflow automation
    • Lead-generation workflow integration
    • AI-supported research and reporting

  • Custom AI integrations

    AI connected to your data and systems, with access controls built in.

    • AI API integrations
    • Retrieval-augmented generation (RAG) where suitable
    • Private knowledge-base integrations
    • Business data integrations
    • Custom AI-powered web applications
    • Human approval, auditability and access control

  • AI consulting & implementation

    A clear plan before anyone writes code.

    • AI opportunity assessments
    • Workflow audits
    • Automation roadmaps
    • Proof-of-concept development
    • Integration planning
    • Deployment and ongoing optimisation

See it work

Five workflows, before and after

Pick a use case and step through it. Gold steps are done by software; dashed steps are always a person. Example data only.

Illustrative workflow · example data · not a live system

From a new enquiry to a qualified, followed-up lead — in minutes, with a person approving the reply.

  1. TriggerNew enquiry arrives
  2. SystemDetails captured
  3. AI stepAI qualifies the lead
  4. SystemCRM updated
  5. AI stepFollow-up drafted
  6. Human checkTeam member approves
  7. OutcomePerformance tracked

Step 1 of 7 · Trigger

New enquiry arrives

A message comes in through your website form, email or WhatsApp.

Example“We need a new website for our three clinics.”

Step 2 of 7 · System

Details captured

Name, company, service and budget are pulled into a structured record.

Exampleservice: website · sites: 3 · budget: stated

Step 3 of 7 · AI step

AI qualifies the lead

The lead is scored against criteria you define, with a short reason you can read.

Examplefit 82/100 — clear scope, timeline this quarter

Step 4 of 7 · System

CRM updated

Contact and deal are created, tagged by source and assigned to the right person.

Exampledeal created → owner: sales lead

Step 5 of 7 · AI step

Follow-up drafted

A personalised reply is prepared, referencing what the prospect actually asked.

Exampledraft ready · 3 questions to confirm scope

Step 6 of 7 · Human check

Team member approves

Your colleague edits or approves the draft. Nothing is sent without them.

Exampleapproved with one edit · sent

Step 7 of 7 · Outcome

Performance tracked

Time-to-reply and conversion by source appear on your dashboard.

Examplereply time: 6 min (example)

We use what we build

Our own AI agent audits websites — and a person signs off.

Inside Witty, a website-audit agent does the groundwork for prospect and client website reviews.

  1. 01 Opens key pages in a real browser and captures desktop and mobile screenshots.
  2. 02 Runs technical, SEO and accessibility checks (axe-core, WCAG 2.2 AA).
  3. 03 Optionally drafts UX, content and conversion findings with Claude — each one must cite screenshot or quoted evidence, and is marked as inference.
  4. 04 Stops at a cost cap, saves everything, and waits for a person to review before anything reaches a client.

It is the same pattern we build for clients: useful autonomy, clear limits, human judgement at the end.

AI Opportunity Explorer

Where could AI save your team time?

Answer four quick questions. We’ll suggest the automation opportunities we’d look at first, with the systems involved and where a person stays in control.

Rules-based suggestions · not a live AI system · nothing leaves your browser

Question 1 of 4What kind of business are you?

Choose one.

Responsible by design

Guardrails come as standard

  • Human approval where it matters

    Anything customer-facing, financial or irreversible goes to an approval queue by default.

  • Least-privilege access

    Each system sees only the data it needs. Credentials stay server-side, never in the browser.

  • Logged and auditable

    Every run is recorded — inputs, outputs and decisions — so mistakes are visible and correctable.

  • Honest with your customers

    Visitors are told when they are talking to an AI, and can always reach a person.

  • Costs measured, not guessed

    We estimate model usage up front and monitor it, so you can judge the return before scaling.

  • No magic promises

    We do not promise guaranteed savings or fully autonomous operations. We measure and report what actually happens.

How an AI project runs

Small, measured, then scaled

  1. 01

    Step 1: Opportunity assessment

    We map your workflows, estimate time spent, and rank opportunities by value, risk and effort.

  2. 02

    Step 2: Design with guardrails

    We define inputs, outputs, data access, approval points and how errors are caught.

  3. 03

    Step 3: Proof of concept

    A small working version on your real data, measured against how the task is done today.

  4. 04

    Step 4: Integrate & deploy

    Connected to your tools with logging, access control and a clear owner on your team.

  5. 05

    Step 5: Monitor & improve

    We review accuracy, cost and adoption, tune prompts and rules, and expand to the next workflow.

Further readingWhere AI automation pays off in a small business — and where it does not

FAQ

AI questions, answered plainly

What business tasks can AI realistically automate?

Tasks with clear inputs and a recognisable pattern: sorting and routing enquiries, extracting details from emails and documents, drafting replies and reports, summarising calls, updating CRM records and answering common questions from your own content. Tasks that need judgement, negotiation or accountability usually keep a person in the loop.

Will AI replace our staff?

That is not how we design systems. The goal is to remove repetitive work so your team spends time on customers and decisions. Every workflow we build has defined points where a person reviews, approves or takes over.

Is our data safe?

We choose providers and configurations based on your data’s sensitivity, limit what each system can access, keep credentials server-side, and log what the AI does. Where data cannot leave your environment, we discuss private or self-hosted options.

How much does an AI project cost?

An opportunity assessment is a short, fixed-scope engagement. A proof of concept is typically weeks, not months. Ongoing costs include AI model usage, which we estimate up front and monitor, so you can judge the return before scaling.

What if the AI gets something wrong?

Some errors are inevitable with AI, so we design for them: confidence thresholds, validation rules, human review for high-impact steps, and an audit trail so mistakes are visible and correctable.

Do you build chatbots?

We build assistants that answer from your approved content and know when to hand over to a person. We avoid bots that guess, and we tell visitors clearly when they are talking to an AI.

Start with one workflow.

Book an AI workflow assessment. We’ll map where time goes, rank the opportunities by value and risk, and recommend a first project you can measure.

Book an AI workflow assessment contact@wittywebsolutions.com