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A 2026 decision framework for established businesses

Build it. Buy it. Own it. Or wait.

Most software decisions come down to two options: buy a vendor's tool and bend your processes to fit it, or build something internal that solves the problem properly. Both carry real costs that rarely appear in the original business case. This framework runs in two stages — first whether building and owning is the right strategic call, then whether your organisation is actually equipped to do it.

Stage 1
Is ownership the right call?
Build · Buy · Extend · Wait
Stage 2
Are you ready for it?
Only if Stage 1 points to ownership
Run the framework →
Stage 1Path qualification

Is ownership the right strategic call?

Ten questions, four areas. Stage 1 works out which direction the evidence actually points — build it yourself, buy off-the-shelf, extend a vendor platform with your own layer, or wait. If it points to ownership, Stage 2 checks whether your organisation is ready to take it on.

01Strategic — does this need to be yours?3 questions
Q1How much does this capability differentiate you from competitors?
Is this where you actually win — or commodity infrastructure that just needs to work?
Core differentiator — this IS our edge
Important strategic enabler
Operational necessity, not differentiating
Pure commodity infrastructure
Q2How much does your workflow diverge from the industry standard?
Vendors design for the median customer. How much does the median tax you?
Highly unique — vendor workflows distort our ops
Notably different — heavy customisation needed
Roughly aligned with industry norms
Identical to standard practice
Q3Would your proprietary data and processes give you a lasting competitive advantage if they powered this software?
Think about operational data, process knowledge, and customer insight that competitors can't easily replicate.
Yes — our data and processes are genuinely distinctive
Somewhat — moderate advantage, not decisive
Limited — others in our sector have similar data
No — our data wouldn't add meaningful differentiation
02The vendor reality — what's actually on offer?2 questions
Q4How well do available vendors actually solve your specific problem?
Be honest about fit — not their marketing, but how much the product actually matches your workflow as it stands today.
Excellent — minimal gaps, solves the problem cleanly
Decent — workable gaps, we could make it fit
Partial — significant gaps even after configuration
No real fit — we'd be forcing a square peg into a round hole
Q5How concerned are you about vendor lock-in and pricing increases over the next renewal cycle?
Think about switching costs, data portability, and where you expect the contract price to be in two to three years.
Very concerned — already locked in, prices already rising
Concerned — real switching cost, pressure building
Moderate — manageable for now, pricing is stable
Low — easy to switch, pricing is predictable
03Build reality — can you actually do it?2 questions
Q6What is the realistic build effort for this, given what's available today?
Be honest about scope. A focused internal team with modern tools can move faster than most organisations expect — but not for every problem.
Small team, 6–8 weeks
Focused team, 3–6 months
6–12 months, substantial investment
12+ months or genuinely uncertain
Q7Do you have the technical team to build and maintain this?
Less about headcount, more about whether you have people who can own a codebase, make architecture decisions, and keep it running.
Yes — experienced team with capacity available
Capable team, would need some upskilling
Limited engineering bandwidth
No relevant in-house capability
04Risk & timing — what if you're wrong?3 questions
Q8What's the regulatory burden + downside if a build underperforms?
Specialised compliance can favour mature vendors who've already invested.
Heavily regulated, severe failure consequences
Moderate compliance, real but manageable downside
Light regulatory load, recoverable failure
No regulatory considerations
Q9How mature are the technical foundations needed to run AI-powered software in your environment?
This covers the basics: the ability to deploy, monitor, and maintain software that includes AI components. It's often the real constraint — more than the cost of building.
Mature — we can deploy, monitor and maintain AI software today
Building — some foundations in place, actively developing
Early — limited experience, fragile starting point
Starting from scratch — no experience running AI software
Q10Where are you in the vendor lifecycle for this capability?
Greenfield, at-renewal, mid-contract, and just-signed are very different decisions.
Greenfield — no incumbent vendor
At renewal — actively considering switching
Mid-contract — switching expensive but possible
Just signed — locked in for 2–3 years