CRM & tool integrations
Connect the systems your team already uses.
• Map contacts, leads and ownership
• Define sync rules and duplicate handling
• Connect approved APIs and webhooks
• Check platform access and limits first
Workflow automation
Move repeatable work between people and tools.
• Route enquiries to the right team
• Trigger tasks and status updates
• Handle exceptions and failed actions
• Keep approvals where judgment matters
Document & AI assistance
Use AI where it supports a defined task.
• Extract fields from agreed documents
• Summarize approved information
• Route uncertain outputs for review
• Test quality against real examples
Start with one workflow
Choose a process with a clear owner and goal.
• Describe the current manual steps
• Identify inputs, tools and permissions
• Agree what a successful result means
• Pilot before expanding the scope
Testing & human review
Review normal cases and exceptions before launch.
• Agree acceptance checks and sample data
• Test failed actions and recovery paths
• Route sensitive decisions to people
• Document known limits and monitoring
Access & data requirements
Confirm permissions before connecting systems.
• Identify data owners and approved sources
• Review API access and third-party costs
• Define access controls and retention needs
• Use agreed test data during development
Handover & ongoing support
Plan how your team will operate the workflow.
• Document configuration and dependencies
• Explain approvals, alerts and recovery
• Include training where agreed
• Define maintenance and support scope
Cost, timing & next steps
Scope determines price and delivery milestones.
• Tool access and data quality affect effort
• Start with a brief and a scoped pilot
• Third-party fees are clarified separately
• Share your tools, workflow and priorities
Who it's for
Sales & service teams
Who AI automation is for
Leads arrive from forms, email, chat and ads. They need to reach the right person quickly, with complete details.
Operations & admin teams
Orders, requests and documents move between spreadsheets, email and business software by hand.
Growing businesses
New tools have been added over time, and data no longer matches between systems.
You want to use AI assistance safely, with clear limits, review steps and measurable results.
Teams exploring AI
AI automation and CRM integration projects suit teams that spend too much time copying data between tools, chasing follow-ups or answering the same questions by hand.
Use cases
Lead capture & routing
Common automation examples
New website, chat or ad enquiries are added to your CRM, checked for duplicates and assigned to the right owner, with an instant notification.
Proposal follow-ups
Reminders and tasks are created automatically when a proposal is sent or hasn't had a response.
Customer onboarding
A signed agreement or payment triggers welcome emails, setup tasks and internal checklists.
Information from agreed document types, such as forms, invoices or order sheets, is extracted and checked before it enters your systems.
Document processing
Every business is different, but these are typical starting points for automation.
AI-assisted replies
AI drafts responses or summaries from approved information, and a team member reviews them before anything is sent.
Reporting
Data from connected tools feeds a regular summary or dashboard, so your team sees activity without compiling it by hand.
Integrations
CRM and sales platforms
Tools & platforms we connect
Email, calendar and messaging tools
E-commerce and payment platforms
Forms, spreadsheets and databases
We work with the tools your business already uses wherever they offer suitable access. If a direct connection isn't available, we review alternatives such as APIs, webhooks, integration platforms or scheduled imports, and explain the trade-offs before work begins.
Project management and helpdesk software
AI models and automation platforms
FAQ
Do we need to replace our current CRM?
AI automation FAQs
Not usually. Most projects start by connecting and improving the tools you already use. If a platform can't support a workflow you need, we explain the limitation and your options in the proposal.
Will AI make decisions without our team?
Only where you agree it should. For sensitive or uncertain cases, the workflow sends the AI's output to a team member for review before any action is taken.
How is our data kept secure?
We use only approved access and agreed test data during development. Access controls, data handling and retention are agreed with your team during scoping.
A focused pilot for one workflow is usually quicker than a project spanning several systems. Timing depends on the tools involved, access, data quality and review cycles. Your proposal sets out the milestones.
How long does an automation project take?
Answers to the questions we hear most often before an automation project starts.
What happens if an automation fails?
Before launch, workflows are tested for failed actions and exceptions. Alerts and recovery steps are documented, so your team knows what to do.
Are there ongoing costs?
Some platforms charge subscription or usage fees, for example integration or AI services. These third-party costs are clarified separately from our project fees.
Explore more
Related services
Internal tools and portals when off-the-shelf software isn't enough.
The websites and apps where your leads and customer data begin.
Connecting orders, inventory and customer data.
Monitoring and support for live workflows.
AI automation works best alongside the systems and channels around it.