Decision guides

Find out what the system makes harder for the people avoiding it, because resistance usually points at a real problem.

Set an agent's authority by the consequence and reversibility of what it can do.

Define first what the AI is allowed to do: present information, draft for a person, or decide.

Settle model choices with a test on your own evaluation set and real traffic, measuring quality and cost together by request type.

Find out why it stopped short before you decide on the product, the vendor or the team.

Start with a customer task and a buying decision, then build only if the evidence says it matters.

Approve the direction with conditions: a short list of problems worth solving, an owner for each AI decision, and evidence before more money.

Not yet.

Require terms on four things: use of your data, visible performance, what happens when the model fails or degrades, and what you own at exit.

Projects often succeed on delivery and fail on the step from delivered system to changed cost, which nobody owned.

Ask for a few measures the board can track every quarter, backed by evidence that the controls actually operate.

Ask for a short set of facts in plain terms: critical systems, major projects, key vendors, security posture and recent incidents.

Build only what makes you different and what you can fund and staff for the system's whole life.

Know where the data is stored, backed up and supported from, who can read it, whether it is used beyond your service, and how you get it back.

Decide per system, rather than one answer for everything.

Change orders grow when the vendor is the only party who can price and build changes, and when nobody sees the total.

Put both sides on the same page: one list of what the first version does, the risks and the controls each needs, with the reason for each.

Fund the basics that stop most attacks and the recovery that limits the rest: strong login, patched systems, limited access, backups that restore, and a plan everyone knows.

Keep ownership of your data and license the other party only what its service needs, for a defined purpose and period, with return or deletion at exit.

Fix the basics first in most cases: agreed definitions, an owner with authority over each source, and a traceable path from every number to its source.

Measure what your product can actually do, then commit to that plus a margin.

Agree the criteria first.

Treat the vendor's date as one input rather than the decision.

Judge charging commitments on evidence you can test: protocol support checked on your own chargers, connection capacity under its documented conditions, and service outcomes.

Cap growth at what you can handle correctly today, and fix the cause before you copy it to the next site, customer or process.

Readiness is a set of tests your organization runs, with the vendor's report as one input.

Treat a group IT change as a contract with you as the customer.

Choose the people who will actually do the work and the terms that keep them there, whichever firm they belong to.

Ask for evidence on how it got in or broke, why detection took that long, and why recovery took that long.

Commission one when a finding would matter and the usual sources have a stake in the answer.

Start from the plant decisions the system must change, with a named owner and a real consequence.

Keep in-house the people who hold knowledge and judgment: architecture, product ownership, and customer and operational knowledge.

Hire when technology decisions now shape the business and nobody can own them.

Start with what specifically fails, at what load, with evidence.

Ask four things: what was compared, what you take with you at exit, what the vendor owes if it underperforms, and the full cost over the term.

Go back to the savings list and ask which savings actually need systems integration.

Keep the knowledge, the data and the right to leave, and measure the provider on the outcomes your customers and regulator care about.

Decide on the remaining work and what it is worth, and leave money already spent out of it.

Ask for evidence instead of status: what was tested and accepted, what was spent against plan, and what the next milestone needs to pass.

Make the order define what the framework or tender leaves open: deliverables and acceptance, named staff, milestones, data and exit for this system.

Commit to a first version you can deliver on the date, with the rest conditional.

Judge readiness on tested recovery of your most critical services, measured in hours, under realistic conditions.

Price the deal at your growth plan over the full term and compare it with owning or licensing.

Find where the cost or delay actually comes from before you choose a tool.

Start from what you actually use, measured by product or workload.

Map each system the business needs to operate to the evidence that you own it or may keep using it.

Decide on the work rather than the vendor count.

Sort the claims into what runs for paying customers, what is built but untested, and what is planned.

Ask for the request split into keeping existing systems running, obligations such as security and regulation, and new projects.

Check the delivery plan behind each technology commitment: who delivers, on what evidence, with what fallback, and what the penalties could cost.

Get an independent technical picture before the legal strategy is fixed.

Write each requirement with the test that would pass or fail it, and score bids on demonstrations with your own data.

Start with an inventory of who connects, to what and why, and remove the access nobody can justify.

Find where the trace broke before you buy or replace anything.

Test the switching claim before you accept it.

Secure what you're entitled to now: code or configuration, documentation, data, environments and credentials, under the company's control.

A guarantee is worth what its conditions allow.

Write the criteria before anyone assesses a vendor, then test every candidate the same way on your own data and real conditions.

Usually each side shows only the half of the evidence that clears it.

Breaks usually come from untested interfaces, reports and behavior rather than from the upgrade itself, so change what you test and with which data.