Prepare information for a business decision

The following example is fictional; the participant counts are illustrative too. A company is looking for training for 24 employees. Purchasing receives two proposals and follow-up emails. Both providers describe similar learning objectives but organize their services differently.

The first proposal quotes a price for up to 20 participants. Adapting the training to company-specific examples is offered separately. Whether a follow-up session is included remains unclear. The second proposal covers 24 participants, preparation of company-specific examples, and one group follow-up session. The respective headline prices alone do not yet provide a meaningful comparison.

The proposed preparation places these differences side by side and points to the relevant source passages. It records which additions still need to be requested for an offer covering 24 participants. Purchasing can then ask targeted questions, while the requesting department assesses which concept fits its learning objectives.

The comparison structure follows the decision. In the training example, the required participant count, learning objectives, and service scope are first agreed with the requesting department. These become common fields for preparation:

• Service and scope: Participant limits, duration, included preparation, and follow-up are shown separately for each proposal.
• Cost basis: Quoted prices and additional items remain distinct. A total is calculated only from confirmed services and quantities.
• Sources and currency: Each decision-relevant fact points to the document or email it comes from. Version and date remain visible.
• Open questions: Missing information and conflicting statements are recorded for clarification. “Not stated” does not mean “not included.”

This overview could be provided in an existing spreadsheet, a case record, or a small review interface. Its value is that the participants work from the same traceable basis.

AI-assisted document analysis can propose information to extract from differently written proposals and emails. In this example, that might include the participant limit, the preparation included, or a later amendment by email. The solution maps the proposed information to the agreed fields and presents the relevant source passages for review.

The remaining tasks are assigned deliberately: fixed rules can check whether the confirmed participant limit meets the requirement. Calculations use verified numbers and defined formulas. The requesting department assesses the training's suitability. A language model should neither fill in missing services nor select the provider independently from a convincing-sounding summary.

Whether AI actually makes preparation easier is tested on representative documents. For uniform forms, direct data transfer or fixed rules may be sufficient. An occasional, one-off proposal comparison may still be best handled manually. A reusable solution becomes interesting when similar decisions recur and create substantial preparation work.

A source reference makes checking easier, but it does not guarantee a correct interpretation. A participant limit might apply to an additional module, or an email might amend an older proposal. The preparation must allow these relationships to be checked rather than hide them in a smooth summary.

Decision-relevant facts are checked against their sources before use. An unstated follow-up session remains an open question. Where two documents conflict, the difference is shown and the applicable version is clarified. Corrections remain traceable so they are not silently lost during the next preparation.

Before testing, the participants agree which documents may be used, who may access them, and where they will be processed. The proposed solution prepares information; selection and approval remain with the responsible team.

A useful first trial covers one proposal type with recurring criteria. Your domain experts assemble permitted documents and check the expected information. The sample includes attachments, later amendments, and missing information alongside straightforward proposals. Some cases are reserved for subsequent evaluation and are not used to adjust the solution.

• Total effort: How long do preparation, source checking, correction, and follow-up take together?
• Correctness and completeness: Are decision-relevant facts captured correctly, and which are missing or assigned incorrectly?
• Visible differences: Are differing service scopes and unresolved points identified in time?
• Usability: Can purchasing and the requesting department work with the overview without preparing everything again?

Comparable cases are assessed using the current and proposed workflows. A fast initial summary is not enough if checking it creates more work than the previous preparation. The trial establishes which documents the solution can handle usefully and where further adjustments are needed.

Corvendor works with your teams to translate domain criteria into a usable comparison structure and develops the appropriate preparation, source references, and checking rules. AI-assisted extraction is included where useful. Results are made available so they can be used and corrected within your existing decision process.

A useful starting scope covers one proposal type, one responsible business group, and a clear set of required information. Your domain experts define what the facts mean and review the results; the relevant system owners establish data access and integration. That provides a basis to extend the approach if preparation proves useful in practice.

With that foundation, the decision group can compare options against agreed criteria, establish priorities, and form a shortlist. A transparent assessment also shows which benefits a choice would forgo. If the preferred option differs from the ranking, the reasons deserve examination: Is information or a criterion missing, have differences been assessed incorrectly, or do priorities need further discussion? Changes are explained and applied consistently to the affected options; the decision remains with those responsible.