We don't use generic AI software. We implement practical systems around how your business actually works, so less gets missed, more gets followed up, and your team spends less time on work that should not be manual.


Stack Integral helps businesses improve AI visibility, search readiness and answer engine discoverability, so they are easier to find, understand and recommend across modern discovery journeys.
Your customers are not only searching in Google anymore.
They are asking ChatGPT, Perplexity, Gemini, Copilot and AI-powered search tools what to buy, who to trust, what to compare and which providers are worth speaking to.
That changes what visibility means.
It is no longer enough to have a website, some content and a few service pages. Your business needs to be clear, credible and easy for both people and AI systems to understand.
If your positioning is unclear, your content is thin, your expertise is not well evidenced, or your website does not answer the questions buyers are actually asking, you risk being missed even when you are a strong fit.
Not-being-found. Not being understood. They have a 'what-happens-next' problem. And a 'who's-supposed-to-do-that' problem. And a 'where-did-that-go' problem.
What that looks like in practice
Your business may not be showing up clearly where buyers are searching.
Your website may not answer the questions people and AI tools are asking.
Your enquiries may not be followed up quickly or consistently enough.
Your CRM may store information without helping the team act on it.
Your reports may show what happened without explaining what is driving performance.
Your processes may depend too much on memory, spreadsheets or one person.


1. Discovery
We start with a focused conversation to understand the business, the pressure points and what you are trying to improve. This is where we look at whether the issue is around visibility, follow-up, workflow, decision-making, team capacity or system reliability.
2. Audit
We then review how the work actually happens. This may include your enquiry flow, customer journey, CRM, website visibility, internal processes, data, reporting, tools and team workflows.
The aim is to identify where time, revenue, information or operational reliability are being lost.
3. Strategy and roadmap
From the audit, we define what is worth improving first. This includes prioritising the strongest use cases, identifying quick wins, clarifying what should not be automated, and setting out a practical roadmap for implementation.
4. Implementation
We build or improve the systems, workflows, automations, prompts, content structures or processes needed to support the work. Where possible, we work with your existing tools rather than replacing systems unnecessarily.
5. Review and improve
Once implemented, we review how the system performs in practice, refine the workflow and improve the approach based on real usage, feedback and outcomes.
We usually start with one meaningful problem, prove value quickly, then expand where it makes sense.
SALES & REVENUE
Database Reactivation System - built around your history with them
Instant Lead Response System that answers and acts
Automated Follow-Up Workflow - continue the conversation in your voice
OPERATIONS & PROCESS
Voice AI that handles calls the way your team would - day or night
Lead Routing & Qualification - the right leads to the right people, fast.
CRM Workflow Automation - Make your systems actually drive action.
PIPELINE & GROWTH
Pipeline visibility - See what's happening before it slips.
Abandoned Enquiry Recovery - opportunities that would otherwise disappear.
Reviews & Reputation workflows - Build trust, repeat business and referrals.
We are usually the right fit if you..
Know something in the business is inefficient, inconsistent or overly manual
Have leads, customers, operational processes or admin that regularly fall through the cracks
Want teams focused on higher-value work rather than repetitive admin
Already use systems such as CRM, email, forms, spreadsheets or internal processes that are not working together properly
Want practical implementation, not just AI advice
Probably not the best fit if you...
You want generic AI software rather than tailored implementation
There are no existing processes, systems or customer activity to improve yet
You already have a mature internal automation or operations function handling this work

Most work starts with a discovery call.
From there, the usual next step is a focused audit: a practical review of where visibility, revenue, data, decisions or operational reliability are under pressure.
You will come away with a clearer view of what is worth fixing, what should be prioritised, and whether AI, automation, better systems or clearer processes are the right next move.
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