Keep the reasoning behind the recommendation.

The value of a consulting recommendation depends on the work behind it. Give your team’s AI applications relevant engagement knowledge and a path back to the documents that informed the answer.

Illustrative example

An answer should invite inspection.

When research spans documents and conversations, finding a plausible answer is only the beginning. Aether supplies persistent context and source-backed retrieval so your application can put supporting material within reach of the reviewer.

Start from the engagement.

Supply the approved brief and discovery notes. Your application can retrieve the recorded requirements when a consultant prepares for the next review.

Put evidence beside the decision.

Retrieve the passages behind a recommendation and show their references, so the reviewer can inspect the original reasoning before carrying it forward.

Make the next question useful.

Separate the documented constraint from the unresolved assumption. Give the reviewer a specific point to confirm, not another unsupported conclusion.

A reference layer for knowledge-intensive work.

Store source material alongside remembered context. Your application can retrieve both, while your professionals remain responsible for interpretation, judgment, and the final recommendation.

A closer look at Aether
AetherMemory

Persistent facts for recurring engagement context

Document retrieval for evidence-backed responses

Source references that support human review

Review the rollout recommendation with its sources.

The supplied brief calls for a phased rollout, but discovery notes leave the second-phase owner unresolved. An internal consulting assistant brings both passages into the review so the team can confirm who owns the next phase.

  1. Supply the approved engagement brief and discovery notes the application may use.

  2. Retrieve the rollout requirement and the related ownership discussion.

  3. Inspect both sources and confirm the second-phase owner before finalizing the recommendation.

A few useful answers.

What can Aether help a consulting team prepare?

Aether can retrieve engagement briefs, approved research, and remembered context for the AI application your team builds. Use that material to support review preparation and sourced summaries. Consultants retain responsibility for interpretation and advice; retrieval does not verify that a source is correct.

How can a reviewer check the recommendation?

Your application can show the retrieved references alongside its response, giving the reviewer a path back to the supporting passages. Conflicting or incomplete sources should remain visible questions. Retrieval supports inspection; it does not guarantee the conclusion is correct.

How should we start with engagement knowledge?

Begin with an approved brief, selected notes, and a specific review question. Define access and retention before adding confidential material, including how the model provider processes it. Evaluate contractual obligations separately; this page does not claim a compliance certification or regulated-workload suitability.

Make the source part of the answer.

Talk through your workflow