Before commissioning a custom AI system, ask a simple question: has someone already built this?
Off-the-shelf: what it is
Ready-made AI is software you subscribe to and configure, such as the AI assistants built into your CRM, helpdesk, office suite or ERP. You choose settings, connect your data and train your staff.
Good when: the task is common (summarising meetings, answering support questions, sorting tickets, drafting emails) and speed matters.
Watch for: limits on customisation, per-user fees that grow with the team, and your data sitting with another company.
Custom: what it is
A partner builds a system around your own data, rules and workflows.
Good when:
- Your process is unusual and gives you an edge
- You have data that competitors do not
- The ready-made tools cannot connect to your systems
- Rules about privacy or hosting rule out standard products
Watch for: longer time to value, ongoing maintenance, and dependence on one provider.
A simple test
Answer these five questions:
- Do mainstream products already do most of this? If yes, start off-the-shelf.
- Is this task a source of competitive advantage? If yes, consider custom.
- Do we have the data and a person to own the project? If no, wait.
- Can we measure the benefit? If no, run a small pilot first.
- Can we move away from the provider later? If no, ask for portability before signing.
The middle path
Many good projects mix both: a ready platform for the standard parts and a small custom layer for what is unique. For example, use your CRM's built-in AI and add a custom connection to your pricing system.
Hidden costs on each side
| | Off-the-shelf | Custom | |---|---|---| | Setup | Low | Higher | | Fit to your process | Moderate | High | | Ongoing fees | Per user or usage | Hosting, model use, support | | Control of data | Depends on the vendor | You choose | | Risk | Vendor changes the product | Provider disappears or is slow |
What to do next
Make a list of three AI ideas. For each, check whether a product you own already covers it. Then run a pilot on the best one. If you reach the limits of ready products, read AI agent development cost in India and use the AI vendor evaluation checklist to pick a builder. Browse verified partners or tell us what you need.
FAQ
Is custom always more expensive? To start, usually yes. Over several years it can cost less than per-user fees for a large team, so compare the full period.
Can I move from off-the-shelf to custom later? Yes. That is a sensible path if you keep your data organised and exportable.
Who should own the project internally? One named person from the business team, not only IT. They decide what good looks like.