How to evaluate decision-intelligence software

1. Define one decision your team needs to improve

Choose a recurring or consequential decision with a recognisable owner. For a consulting team, this might be a recommendation to change a client’s operating process. Write down the question, who recommends, who may authorise the choice and who will examine the result.

Describe the difficulty: reviewers cannot find evidence, objections disappear from the memo or nobody revisits the original assumptions. Choose a pilot that exposes the problem without requiring an unnecessary operational commitment.

• Understand the decision-intelligence category

2. Agree requirements before the demonstrations

Separate mandatory conditions from preferences. Agree the participants, required records and client or leadership output. Identify contractual or procurement conditions that would prevent adoption.

Give every shortlisted vendor the same requirements. Ask whether each capability is available now in the proposed configuration, requires additional setup or is planned. Keep an unverified requirement marked as untested until evidence resolves it.

3. Prepare a representative example

Use synthetic or authorised material. Include a recommendation, alternatives, evidence, an important uncertainty and a material objection. Agree processing and access conditions before using confidential client documents.

Prepare a later change in circumstances so the demonstration can include outcome review. Label invented outcomes as illustrative. A staged example demonstrates a workflow; it does not establish that the product improves real business results.

• See a clearly labelled AFOS example

4. Follow the complete workflow

Let the people who will use the system complete relevant steps. Record vendor assistance, setup effort and manual work. A polished presentation alone cannot show whether your team can operate the process consistently.

• Frame the question and examine how evidence, assumptions and alternatives remain accessible.
• Ask a second participant to challenge the recommendation and retain an unresolved objection.
• Have the authorised human assess the recommendation and record the decision within the agreed process.
• Prepare the intended client or executive handoff and ask a fresh reader to explain the reasons.
• Return with changed evidence and review the outcome against the original decision.

5. Complete the pilot scorecard

Copy this table into your evaluation record. For each requirement, mark Met, Partly met, Not met or Not tested; add the demonstration date and evidence. Decide which rows are mandatory before scoring. An unmet mandatory condition should remain visible even when other capabilities perform well.

6. Decide whether to proceed, revise or stop

Review the evidence with the decision owner and intended users. Proceed when mandatory requirements are demonstrated and responsibilities are clear. Revise a narrowly defined part of the pilot when an answer remains open. Stop when a required capability or operating condition cannot be met.

Record subscription scope, implementation work, support, internal effort and exit arrangements. Set a review date for adoption and actual outcomes after any rollout. A small pilot can establish workflow fit; demonstrating lasting commercial value requires observation over time.

Applying the guide to AFOS

This guide was prepared by ApexForm and reviewed on 7 September 2026. It reports no comparative product-test results. Apply the same evidence standard to AFOS and every other candidate.

AFOS currently offers commercial-beta hosted SaaS for governed recommendations. Human authority remains explicit, and invoked AI features can involve disclosed third-party providers. Confirm present functionality, processing conditions and contractual scope during a guided pilot discussion.

• Review AFOS security and data flow
• Read current product and pilot questions
• Discuss an AFOS guided pilot

Common questions