Home / Roadmap Enterprise evolution roadmap
How a business evolves
when its systems start
working together.
Six stages, from disconnected tools to a self-improving growth engine. For each one: what gets installed, what changes in the business, and how you know you have arrived.
01 Fragmented02 Foundation03 Connected04 Insightful05 Intelligent06 Growth engine
Fragmented.
Connected.
Intelligent.
03 Six stages
From fragmented to growth engine.
01 02 03 04 05 06
01
Where most businesses start
Fragmented
Work runs on spreadsheets, inboxes and disconnected apps. People are the integration layer.
What changes Data lives in spreadsheets and separate tools Teams re-enter the same information several times Reports are assembled by hand at month end Signals you have arrived Nobody trusts a single number Status meetings exist to share updates Growth means hiring more people for admin
02
Typically months 0–3
Foundation
Core systems move to secure, reliable cloud infrastructure and customer records come together in one place.
What changes Systems are reachable securely from anywhere Data is backed up and recoverable Customer records live in one CRM Signals you have arrived A broken laptop no longer means lost data One shared customer list Infrastructure costs are visible
03
Typically months 3–6
Connected
Systems are integrated through APIs and repetitive handoffs between teams are automated.
What changes Information entered once flows everywhere it is needed Approvals and orders move automatically Departments share live data Signals you have arrived Fewer status meetings Work moves without chasing Errors from re-keying disappear
04
Typically months 6–9
Insightful
Connected data feeds a single warehouse and live dashboards, so leaders run the business from real numbers.
What changes Leadership sees performance live Reviews run from one dashboard Problems surface in days, not quarters Signals you have arrived Meetings start from agreed numbers KPI alerts trigger action Reporting effort drops sharply
05
Typically months 9–15
Intelligent
With clean data in place, AI starts forecasting, recommending and handling routine work across the business.
What changes Forecasts drive planning decisions Routine requests are handled by AI Customers are served around the clock Signals you have arrived Teams spend their time on exceptions Planning starts from a forecast Response times fall to minutes
06
Typically 15 months onward
Growth engine
Marketing, sales and operations share one data foundation, and growth compounds as every channel is measured to revenue.
What changes Every channel is measured to revenue Budget shifts to what converts Customer experiences are personalised Signals you have arrived Acquisition cost known per channel Marketing and sales share one funnel Growth no longer needs proportional headcount
Timeframes are typical ranges for a mid-sized business. Your starting point, scope and team size will change them; the discovery stage produces a timeline specific to you. Each stage builds on the one before it — skipping ahead, for example adding AI before the data is connected, is the most common reason transformation projects stall.
04 Before and after
What changes across the business.
Hover, tap or focus a card to flip it from before to after.
Operations · Before Operations Manual handoffs and duplicated data entry. Flip ↻ After Operations Automated workflows; data entered once. Data · Before Data Spreadsheets that disagree with each other. Flip ↻ After Data One governed source feeding every report. Customers · Before Customers Slow replies and a fragmented history. Flip ↻ After Customers Fast, personalised service on every channel. Decisions · Before Decisions Monthly reports and gut feel. Flip ↻ After Decisions Live dashboards and forecasts. Teams · Before Teams Time lost to admin and chasing updates. Flip ↻ After Teams Time spent on exceptions and growth work. Growth · Before Growth More revenue requires more headcount. Flip ↻ After Growth Systems scale; growth compounds.
