Our services / AI Systems & Automation

AI integration built around your business.

We connect AI with your CRM, inbox and business tools where access allows, then build and manage the agreed workflow.

Exploring where AI could save your team time? Start with a free online snapshot. A detailed remote or in-person AI Operations Audit is a paid, separately scoped next step.

Scoped implementation + monthly operations

Your business, working together
The starting pointA new job request

Details and documents, received.

Brief.pdf
Your connected systemThe busywork, prepared.

Organise. Check. Assign.

The human checkpointReady for your team

Review before the next action.

You
Illustrative workflow, scoped to your business

What we help you do

Less manual work. Clearer handovers. More room to grow.

Clear deliverables, agreed before work starts. Built around the way your business actually works.

Hands sketching a plan between open laptops

Workflows that move work forward

Integrate the agreed parts of your inbox, forms, CRM and job systems. Collect documents, flag missing information, assign the next task and give your team a clear view of what needs attention.

AI your team can actually use

Prepare document summaries, draft work for approval and answer internal questions from approved business information. People review important decisions and handle the exceptions.

A CRM that fits the way you work

Start by connecting and improving the tools you already use. Where an existing CRM cannot do the job, we can scope a custom CRM or internal application around the business case.

An ongoing systems partner

Monitor agreed workflows, investigate failures and keep integrations working. Monthly operations include a defined improvement allowance, with support hours and response targets set in your proposal.

Connect new systems to a managed lead follow-up process

Connected to your business

Keep your tools. Connect the dots.

Connect the software your team already uses. Bring the information together and give every step a clear next action.

Demandify.
  • Claude
  • Gemini
  • n8n
  • Make
  • Zapier
  • GitHub
  • HubSpot
  • Xero
  • Gmail
  • Notion
  • Airtable
  • Stripe
  • Shopify
  • Supabase
  • Meta
  • Google Ads
  • Google Calendar
  • Google Sheets
  • Zoom
  • Trello
  • Canva
  • Figma
  • Vercel
  • WhatsApp
Built around your tools, with integration access and scope confirmed during discovery.

What that looks like in practice

From the inbox to the right hands.

A worked example of an AI integration we can scope: turn a request and its attachments into a checked CRM record. This is an illustrative workflow. Your tools, permissions and approval process shape the final build.

  1. Step 1

    Receive

    Keep the original request and attachments together. Check for an existing request before creating a record.

  2. Step 2

    Prepare

    Extract the agreed details into a draft. Link back to the source and flag missing or conflicting information.

  3. Step 3

    Review

    Your team checks the draft against the source, corrects it and approves the next action.

  4. Step 4

    Update

    Save approved details and assign an owner. Send failed updates to a visible queue for the team to resolve.

One request. A clear next action.

Example email: “Please quote for inspections at our three sites. The address list is attached. Let us know when you can come.”

The draft your team receives
Service: site inspections. Sites: three, with each address linked to the attachment. Timing: not provided. Proposed next action: ask the customer for preferred dates. A staff member checks the addresses before approving the record and follow-up.
What we test before launch
An unreadable attachment or conflicting address goes to review. A duplicate request should update the existing work item. A failed CRM write must be visible and safe to retry without creating another job. Prices and dates need the agreed approval before a customer receives them.
How we judge whether it helps
Compare a representative set of requests before and after launch. Count staff handling, checking and rework time, duplicate records and unresolved failures. Review those results alongside setup, monthly care and software costs. Freed capacity becomes a cash saving only if spending actually falls.

Compare three possible first AI workflows

A clear build. An ongoing partnership.

Implementation
A written scope, agreed integrations, testing, team training and launch. Price and timeline are confirmed before work starts.
Monthly operations
Agreed monitoring, fixes, a results review and a defined allowance for improvements. New systems and major builds are quoted separately.
Your accounts and data
Your business owns its accounts and data. Hosting, software and AI usage, access, deliverable ownership and exit arrangements are documented in your proposal.

Built into Demandify

Our own enquiry workflow, in use.

Our website connects application forms, our private CRM and owner email alerts. It checks the answers, saves the original request and sets a next action for review. A repeated submission can return the existing receipt without creating another enquiry.

Failures stay visible
If an owner alert fails temporarily, it is retried and its status stays visible for follow-up. The saved enquiry remains in our CRM.
People own the decision
We review each business before recommending scope and next steps. Discovery, proposals and client onboarding are tracked in the same workspace.
What this demonstrates
A working automation in our own operation: retain the request, avoid duplicate work and make exceptions visible. The inbox and attachment example above describes a separately scoped AI build.

How we work together

Map it. Build it. Keep it working.

You know what’s happening, what comes next and who’s responsible.

  1. 01Map

    Map the business case

    Start with a fit call, then a scoped process review. Map the work, tools and team time. Prioritise the first system and agree deliverables, success measures and implementation pricing.

  2. 02Build

    Build, test and hand over

    Connect the agreed tools with limited access. Test real examples, missing information and failure recovery. Document the workflow, train your team and launch with supervision.

  3. 03Operate

    Operate and improve

    Review reliability, adoption, team time and usage costs. Use the agreed monthly allowance for useful improvements. Major additions and new systems receive a separate scope.

A good question

What do we own, and what does the monthly service cover?

Your business accounts and data remain yours. Your proposal defines ownership of custom work, access to Demandify’s managed runtime and what happens when the service ends. Monthly operations cover agreed monitoring, support and an improvement allowance. Software and AI usage are shown separately, and major new builds need a separate scope. We measure results against the starting point; savings are not guaranteed.

Let’s make your next move a useful one.

Tell us where the business is today and what you want to improve. We’ll check the fit and work out the right next step.

For businesses turning over $250,000+ a year and ready to start now or within two weeks. The managed website offer has its own brief.
Tell us about your business

Thousands of reasons to use Demandify

We’ve saved hours across businesses in finance, automotive, trades and services by reducing repetitive work.