In This Week’s Newsletter:
- Opportunity Spotlight of the Week: DOA GEN VI HRSS
- Four To Follow: Four Interesting Pursuits
- Capture Corner: Integrating AI into the Capture Methodology
- Pricing Insights: How AI Can’t Improve PTW
Opportunity Alert – DOA GEN VI HRSS
Contact Katie: katie.clatterbuck@hinzconsulting.com
Department of the Army, GEN VI Human Resources Solutions Support.
On May 22, 2026, the Contracting Office released a special notice to announce the Industry Day is scheduled to be held on June 16, 2026 at 10:00 AM ET to 3:00 PM ET in Fort Knox, KY. The Government anticipates releasing a Draft RFP prior to the Industry Day via SAM.gov. the Army has need of a contractor to support all facets of the personnel management life cycle including manpower planning, policy analysis, program analysis, risk management, training, deployment, compensation, sustainment, transition, and data administration. This $7.6B IDIQ is anticipated for release in September 2026 with an award date of September 2028. Reach out to Hinz Consulting for any Capture Management, Competitive Analysis, Graphics, Price to Win, or Proposal support and continue to monitor SAM.gov for any updates in the procurement timeline.
Four to Follow
- Defense Logistics Agency (DLA), Warehousing and Distribution Services at DLA Distribution Barstow California (DDBC). On May 22, 2026, the Contracting Office released the Draft RFP requirements along with Site Visit and Conference instruction details. The Draft RFP details the primary mission, which involves receiving, storage, inventory, packaging, stock control, issue processing, packing, shipping, and distribution of repair parts an secondary items to support local and worldwide customers with potential for multi-shift operations and provision of material handling equipment. All interested attendees must register for the site visit/preproposal conference NLT 12:00 PM ET on June 1, 2026. The preproposal conference is currently scheduled for June 11, 2026. The final RFP for this $88M SDVOSB IDIQ is anticipated for release July 2026, with an award estimated for March 2027, with work anticipated to begin in April 2027. Continue monitoring SAM.gov for further updates.
- Department of the Air Force, Department of Defense Cyber Crime Center (DC3) Technical Analytical and Business Operations (TABO) In April 2026, the Government released four (4) RFIs in support of the DC3 TABO enterprise. These areas were outlined in the AFDW Industry Day on May 12, 2026. The following RFQs are anticipated for release via GSA MAS: Cyber Forensics Laboratory (CFL) Services; Cyber Defense, Analysis, and Mission Enablement; Strategic and Foundational Operations Support Services; and DC3 Cyberspace Operations. Work is anticipated to begin April 26, 2027. The DC3 enterprise is valued at $560M and is competed as a Full and Open/Unrestricted, single award opportunity. Continue to monitor SAM.gov and your eBUY portals for any changes to this opportunity.
- Department Information Systems Agency, Joint Warfighting Cloud Capability (JWCC) Unified Cloud Marketplace (UCM). On May 21, 2026, the Contracting Office released a notice to industry to interested contractors to provide XaaS at all classification levels, from strategic to tactical edge, including Disconnected, Disrupted, Intermittent, and Limited Connectivity (DDIL) environments and closed loop networks. DISA seeks to understand various cloud services and offerings developed by industry to support DoD software and hardware modernization, including Artificial Intelligence (AI) and Machine Learning (ML) capabilities at scale. The anticipated release date for this $9B Full and Open/Unrestricted IDIQ is Q4 2026 with an award in September 2027. Continue to monitor SAM.gov for any updates.
- Department of the Air Force, Multi-Disciplined Architect-Engineering (AE) Services. The United States Air Force Academy (USAFA) requires a contractor to manage and execute Title I, Title II, and other Professional A-E services for design and construction oversight supporting Facility Sustainment, Repair, and Modernization (FSRM) and Military Construction (MILCON) program. The final RFP for this $150M IDIQ is set for release in September 2026 with an award date of September 2027. The competition type is currently unknown. Continue to monitor SAM.gov for any updates on this opportunity.
Integrating AI into the Capture Methodology
Contact John: john.amoriello@hinzconsulting.com
Integrating Artificial Intelligence (AI) into the Capture Methodology can help you transform the traditional, highly manual process of pursuing business contracts into a predictive, data-driven strategy. Applying AI correctly enables capture teams to proactively shape procurement environments, gather deep intelligence, and optimize win strategies well before an RFP drops.
Detailed below is where we recommend mapping AI to the core phases of the capture lifecycle:
1. Opportunity Identification and Qualification
During the earliest stages, use AI as a wide-net intelligence aggregator, shifting the process from manual tracking to automated discovery.
- Predictive Pipeline Modeling: Use AI models to analyze historical spending patterns, budget cycles (e.g., fiscal year-end spikes in SLED or Federal sectors), and agency procurement forecasts to predict upcoming unannounced opportunities.
- Intelligent Qualification (Gate Reviews): Apply machine learning algorithms to score opportunities against your company’s historical performance, past performance data, and core competencies. This helps teams objectively decide whether to pursue ($GO$) or drop ($NO-GO$) a pursuit early, saving significant bid and proposal (B&P) resources.
2. Intelligence Gathering and Black Hat Analysis
A successful capture strategy relies on deeply understanding the customer and the competition. AI accelerates this research from weeks to hours.
- Customer Sentiment and Footprint Analysis:Natural Language Processing (NLP) tools can parse thousands of pages of agency strategic plans, budget justification documents, and meeting transcripts to extract an agency’s underlying pain points, technical debt, and strategic priorities.
- AI-Driven Competitor Intelligence (Black Hat):AI tools can scrape public contract awards, press releases, job boards, and teaming agreements to map out competitor capabilities. By synthesizing this data, AI can simulate competitor “win themes” and pricing strategies, giving your team a clearer picture of what you are up against.
3. Shaping the Procurement and Solutioning
The primary goal of capture is to influence the procurement requirements to favor your unique solution.
- Generative Solution Architecture: Based on early drafts of requirements or historical statements of work (SOWs), generative AI can assist Lead Solution Architects in drafting technical baselines, identifying potential compliance risks, and generating concept-of-operations (CONOPS) diagrams.
- Strategic Question Generation: AI can analyze draft RFPs or Requests for Information (RFIs) to identify ambiguities, restrictive requirements, or gaps. It can then generate targeted, strategic questions designed to shift the customer’s technical requirements toward your company’s proprietary strengths.
4. Teaming and Partnering Strategy
Finding the right partners is critical, especially when trying to meet specific small business participation benchmarks (e.g., MBE, WBE, SDVOSB) or plugging technical gaps.
- Partner Complementarity Mapping: AI can evaluate potential subcontractors by analyzing their past performance, geographic footprint, and socioeconomic certifications against the anticipated evaluation criteria of the target contract.
- Socioeconomic Optimization: Algorithms can calculate the ideal distribution of workshare among a teaming structure to maximize both technical evaluation scores and compliance with diversity utilization goals.
5. Win Themes and Strategy Development
Turning data into a compelling narrative is where capture execution succeeds or fails.
- Discriminator Extraction:By contrasting your company’s verified past performance against competitor weaknesses, AI tools can help refine core Win Themes that resonate with the specific buyer persona (e.g., ensuring technical depth for the evaluator while emphasizing cost-efficiency for the contracting officer).
- Ghosting the Competition: Generative AI can assist in subtly “ghosting” competitor vulnerabilities into the capture strategy, crafting messaging that highlights the risks of alternative approaches (like hardware-dependent solutions versus agile, software-based models) without naming competitors directly.
How AI Can’t Improve PTW
Contact Dr. Tom: thomas.hudgins@hinzconsulting.com
AI is starting to show up in PTW analysis across the GovCon community. It can be a useful assistant for pricing teams, but it does not replace a structured PTW process. PTW is about estimating the evaluated price range that is most likely to win, based on competitor cost, likely pricing behavior, and the evaluation method.
AI tools can help with the mechanics: scanning FPDS and other public sources, flagging patterns in labor rates and discounts, and summarizing RFPs, amendments, and Q&As so you can get to PTW modeling faster. They can also support quick “what if” tests, showing how changes in labor mix, indirect rates, or fee move you within an estimated PTW band.
The limits matter just as much. If you feed an AI weak, incomplete, or outdated data, it may produce “market” benchmarks that are inaccurate and distort your PTW targets. AI also cannot fully capture competitor constraints or agency budget realities that sit behind that range. Every AI user has to protect proprietary data and avoid pasting sensitive pricing details, such as salary bands, wrap rates, indirect rate build‑ups, fee targets, and BOEs, into external tools.
The smart use of AI is to accelerate the analytical steps that feed PTW, while human pricing professionals still decide the final price to win.
- June 1-4th: VETS26 Conference in New Orleans, LA
- June 18th: 2026 Army Summit in Reston, VA
- July 30th: 2026 Air and Space Summit in McLean, VA