AI Technical Approach Differentiator Analysis Playbook

Your firm is writing the technical approach for an Air Force cloud migration contract. The RFP requires a migration of 14 legacy systems to AWS GovCloud. Your team has done 3 similar migrations. You need to differentiate your approach from the 6 other firms you expect to compete.

When to use this playbook

• Use this playbook when the decision looks like the situation above: Your firm is writing the technical approach for an Air Force cloud migration contract.
• It is a fit when you have source files in hand and need a structured, reviewable analysis — not a generic chat answer about "Technical Approach Differentiator Analysis".
• Do not use it as a substitute for licensed, legal, clinical, or authorized official judgment in the domain.

What you'll need

• Full SOW (cloud migration requirements for 14 legacy systems)
• Your firm's prior migration case studies (3 projects)
• Air Force cloud strategy documents and DISA cloud authorization guidance
• Competitor capability statements and past performance summaries (public sources)
• Section M evaluation criteria with technical factor descriptions

Attachments: Documents (Documents)

You are a proposal writer developing a differentiated technical approach for an Air Force cloud migration RFP. I am attaching:

Work only from the attached source files. If a conclusion is not supported, say so.

Produce:
1. Identify the evaluation criteria language in Section M that signals what the Air Force values most—map every technical factor to a discriminating capability claim.
2. From the SOW, identify the 3 hardest technical problems in this migration (data sovereignty, legacy system dependencies, zero-downtime requirements) and recommend specific solution approaches our firm can own.
3. Draft the key technical discriminators section: 4 specific capabilities we have that competitors are unlikely to match, with evidence from our case studies.
4. Identify the risk mitigation language the evaluator will expect and what our proof points are.
5. Tell me what our ghost proposal should say (what the evaluator knows about us before we submit) and what we need to change that narrative.

Call out where independent models are likely to disagree, and list follow-up documents a reviewer should request.

What to expect

• Evaluation criteria-to-discriminator mapping
• Top 3 hard problem solution approaches
• Key technical discriminators with case study evidence
• Risk mitigation language with proof points
• Ghost proposal analysis and counter-narrative

Review before you act

• Validate this output against source files before relying on it: Identify the evaluation criteria language in Section M that signals what the Air Force values most—map every technical factor to a discriminating capability claim.
• Validate this output against source files before relying on it: From the SOW, identify the 3 hardest technical problems in this migration (data sovereignty, legacy system dependencies, zero-downtime requirements) and recommend specific solution approaches our firm can own.
• Validate this output against source files before relying on it: Draft the key technical discriminators section: 4 specific capabilities we have that competitors are unlikely to match, with evidence from our case studies.
• Validate this output against source files before relying on it: Identify the risk mitigation language the evaluator will expect and what our proof points are.
• Confirm every cited figure, date, counterparty, or requirement against the attached originals — models compress and can drop a qualifier.
• Treat disagreement between models as a review item, especially on classification, materiality, and recommended next action.
• Do not authorize an operational, clinical, legal, credit, or enforcement action solely because the models agree.