If you lead an RFP team in a highly regulated market, proposal strategy starts with defensibility: where data goes, what’s provable over time, and how approved messaging stays differentiated. Perry Robinson (CEO, RocketDocs) breaks down the risks teams miss when they focus only on hallucinations instead of data flow visibility, contractual control, auditability, retention, and governance.

What you’ll learn

• How to evaluate proposal tech in regulated environments using a defensibility lens

• The 3 vendor questions that surface real risk: data flow, ownership/control, audit trail

• How “system of record” thinking changes approvals, retention, and traceability

• How to prevent AI-assisted responses from drifting into generic, look-alike language

• How to involve compliance, privacy, legal, and security earlier in the buying process

• How to reduce SME burden while strengthening governance

Chapters00:00 The real compliance risks for regulated RFPs02:40 Governance, control, and AI risk in regulated proposals02:59 The gatekeepers: compliance/security in the buying process03:57 What teams fear vs. what actually matters11:35 Automation that reduces SME burden16:26 Evaluation checklist for regulated teams16:51 3 vendor questions: ownership, data flow, audit trail19:04 Proposal leaders as enterprise knowledge stewards21:36 System of record: retention, approvals, and content libraries28:45 Staying manual: version control, auditability, compliance exposure32:30 Recap: defensibility + differentiation

Links

• RocketDocs: https://bit.ly/4u8lSeH

• Stargazy (compare proposal tech + build a governed shortlist): https://stargazy.io/

• Stargazy community: https://stargazy.circle.so/

• The Stargazy Brief: https://the-stargazy-brief.beehiiv.com/

CreditsStargazy x RocketDocs (with Christina Carter)

Proposal teams sit on a goldmine of revenue intelligence. But most organizations don’t realize it.

In this episode of the Stargazer Brief, we explore why bid and proposal teams are still treated as cost centers, and how AI is creating an opportunity to reposition them as strategic revenue partners.

This conversation breaks down how proposal leaders can shift perception, earn influence, and stop chasing deals they already know they won’t win.

✹ Why revenue leaders often misunderstand the bid function

✹ The difference between proposal automation and proposal intelligence

✹ How AI should be used for structuring and enriching, not replacing, strategic thinking

✹ Why recurring internal insight updates change executive perception

✹ What metrics revenue leaders actually care about beyond win rate

✹ How agentic AI workflows streamline complex proposal processes

✹ What to look for when evaluating proposal software in 2026

✹ The one industry habit proposal teams must stop immediately

Follow Stargazy on Spotify for executive-level insights into proposal strategy, AI workflows, and the future of revenue intelligence.

🌟 Check out Altura at https://bit.ly/4l9l5Xa🌟 Connect with Matthijs on LinkedIn: https://www.linkedin.com/in/ai-driven-bid-management/🌟 Altura's Stargazy profile: https://stargazy.io/proposal-tech/altura

In professional services firms, CVs and experience sections are often treated as administrative documents. In reality, they directly influence RFP evaluation scores, perceived delivery risk, and ultimately win rates.

In this episode of The Stargazy Brief, Christina Carter speaks with Erling Linde, CEO and Co-Founder of Flowcase, about how proposal teams can improve bid performance by structuring, maintaining, and tailoring CVs strategically.

As AI accelerates drafting across the industry, solution narratives are becoming more uniform. What remains defensible is documented proof of expertise. Erling explains how high-performing firms treat CV data as a strategic asset rather than static HR content, and why executives increasingly expect proposal teams to align with board-level priorities such as cost efficiency, AI ROI, and measurable revenue impact.

Topics covered include:

• How CVs affect RFP scoring criteria

• The difference between claims and documented proof

• Best practices for tailoring resumes to specific bids

• Using CV data in go/no-go decisions

• Where AI adds value in proposal workflows

• Why reputation and past performance remain decisive

This episode is relevant for proposal leaders, bid managers, CROs, and professional services executives navigating AI-driven change in RFP environments.

Learn more about Stargazy at stargazy.io.

In this episode of The Stargazy Brief, Christina Carter speaks with Ray Meiring, CEO of QorusDocs, about how AI is changing the role of proposal teams across AEC, legal, GovCon, and professional services.

Ray shares insights from conversations with CEOs, CROs, managing partners, and sales leaders on how proposal functions are shifting from compliance-driven document production to strategic revenue contribution.

The discussion covers:

• Why proposal teams are still viewed as cost centers
• How AI is reducing transactional and compliance-heavy work
• The importance of early capture involvement
• Data-driven bid/no-bid qualification
• What differentiates winning proposals in an AI-saturated market
• How proposal leaders can increase strategic influence inside revenue teams

This episode is designed for proposal leaders, sales leaders, solution teams, and firm partners who want to increase win probability and reposition the proposal function as a strategic driver of growth.

Learn more at: https://stargazy.ioConnect with Ray Meiring and QorusDocs at: https://www.qorusdocs.com/request-a-demo?utm_source=stargazy_podcast&utm_medium=podcast&utm_campaign=stargazy

What are GovCon hiring managers really looking for in proposal and capture talent right now, and how is AI changing who gets hired, promoted, or passed over?

In this episode of The Stargazy Brief, Christina Carter talks with Al Vega, a US federal GovCon recruiter, about what’s happening in the proposal/capture job market in 2026. This is a tactical conversation for proposal professionals who feel underpaid or underleveled, want to move into better-paying roles (including DoD), or want to avoid common LinkedIn and resume mistakes that quietly disqualify strong candidates.

You’ll hear what skills are standing out, how strict GovCon requirements shape hiring decisions, why clearances and certifications can move salary, and how to use AI as an advantage without letting it “interview for you.”

In this episode, we cover:

• The top skills hiring managers want in capture + proposal roles

• How AI is affecting GovCon hiring and interview trust

• The #1 LinkedIn mistake that turns recruiters off

• When it’s still worth applying if you don’t meet every requirement

• How to move from civilian agencies into DoD roles (and what tradeoffs to expect)

• Clearances, certifications, and other salary levers

• Smart questions candidates should ask to avoid bad-fit roles

In this episode of The Stargazy Brief, Christina Carter sits down with Gareth Meredith (Softcat; formerly RingCentral, 8x8, Inventive AI), a bid leader known for building 60–70% win-rate systems through disciplined process, leadership, and one underrated lever... answer planning that sells.

They break down what actually moves win rate in 2026:

• Why systems beat automation (and why AI only works when it supports a strong process)

• Where AI helps today: compliance, questionnaires, and reducing bid-manager overload

• Where AI still fails: breaking down questions, building persuasive structure, and “reading between the lines”

• How to operationalize a proposal function: front-loaded governance, repeatable kickoff, lean reviews, fewer late-night fire drills

• How to pitch change to a CRO: revenue math + voice-of-customer evidence, not emotion

• What to track (and what to ignore): win rate, quality scores, revenue/gross profit (and why shortlist rate is mostly noise)

• Cultural debt in bid teams: underinvestment, burnout norms, and the “admin label” that kills strategic impact

Follow Gareth Meredith on LinkedIn for practical, transparent breakdowns of bid systems, quality, and process that scales.

🌟 FIND STARGAZY 🌟✸ Website (shortlist tools + vendor profiles): https://stargazy.io/✸ Community (join the conversation + Gareth AMA): https://stargazy.circle.so/join?invitation_token=0856b517503bca21eecbae1d058313543675481b-28d54c10-c886-4708-8b3b-ffd62cd3c935✸ Newsletter: https://the-stargazy-brief.beehiiv.com/✸ LinkedIn: https://www.linkedin.com/company/stargazyproposals/🌙 GUEST LINKS 🌙✸ Gareth Meredith on LinkedIn: https://www.linkedin.com/in/gareth-meredith/

✨ Explore 1up on Stargazy: https://stargazy.io/proposal-tech/1up...What if proposal and questionnaire software were designed for a world where AI reads your RFP before a human ever does?In this episode of The Stargazy Brief, Chris sits down with George, Founder & CEO of 1up, to unpack how RFPs, DDQs, security questionnaires, and technical responses are actually being evaluated today, and why many proposal “best practices” are breaking/broken.George previously founded and sold a cybersecurity company that lived inside RFPs, security questionnaires, and enterprise due diligence. That firsthand pain led to 1up, and to a strong point of view on automation, qualification, knowledge management, and the risks hiding inside modern proposal tech.This conversation goes beyond tools. It’s about how proposal work is changing when AI is reading, scoring, and filtering responses at scale.⭐ WHAT YOU’LL LEARN✵ How proposals are already being reviewed and scored by AI before humans see them✵ Why “confidence scoring” in proposal tools is misleading and actively harmful✵ The popular proposal tech feature that often makes answers worse, not better✵ Why completeness matters more than “quality” in AI-evaluated RFPs✵ How feature gaps are coming back in machine-based evaluation✵ Why bad AI answers usually come from bad content, not bad models✵ Why pulling Slack into proposal AI systems creates dangerous misinformation✵ How proposal teams can increase influence by thinking more like AEs✵ Why the traditional go / no-go process breaks down once automation exists✵ The emerging “knowledge engineer” role,and why proposal professionals are well positioned to fill it🌟 FIND ON STARGAZY 🌟✸ Community: https://stargazy.circle.so/join?invitation_token=0856b517503bca21eecbae1d058313543675481b-28d54c10-c886-4708-8b3b-ffd62cd3c935✸ Newsletter: https://the-stargazy-brief.beehiiv.com/subscribe✸ Website: https://stargazy.io/✸ LinkedIn: https://www.linkedin.com/company/stargazyproposals/🌙 GUEST LINKS 🌙✸ 1up Website: https://www.1up.ai/✸ 1up on LinkedIn: https://www.linkedin.com/in/george-avetisov/✸ George on LinkedIn: https://www.linkedin.com/in/george-avetisov/✸ 1up’s Stargazy Page: https://stargazy.io/proposal-tech/1up

✨ Explore Turingon on Stargazy: https://stargazy.io/proposal-tech/proposal-pilotWhat if proposal software were built not by generalist engineers, but by people who have lived through GovCon deadlines, FAR audits, and price-to-win pressure?In this episode, Arthur Runno, CEO of Turingon and a veteran of twenty years in federal proposals, explains how the rapid changes in US federal procurement, small-business policy, cyber standards, and AI-assisted evaluation are reshaping how contractors compete.Arthur breaks down how Turingon is designing AI-native tools directly from GovCon experience: tools that understand compliance, substantiation, price realism, teaming strategies, and the structural demands of federal proposals. You’ll hear why the next era of GovCon bidding will reward teams with higher throughput, stronger qualification discipline, and AI systems built specifically for federal work.⭐ WHAT YOU’LL LEARN✵ How FAR 19 reforms and small-business rule changes will alter capture strategy and competitive landscapes✵ Why fixed-price dominance increases pricing discipline and makes compliance-driven writing more decisive✵ How AI-assisted evaluation is changing what evaluators score and how teams should structure their proposals✵ Why GovCon proposal teams should expect higher volumes in the coming years, not fewer✵ The new role of cyber: FedRAMP inheritance, secure environments, and why proposal tools must meet federal expectations✵ Why general-purpose AI tools struggle in GovCon and what “AI built by proposal managers” looks like in practice✵ Practical steps for integrating AI into your capture and proposal workflow without compromising quality or control🌟 FIND ON STARGAZY 🌟✸ Community: https://stargazy.circle.so/join?invitation_token=0856b517503bca21eecbae1d058313543675481b-28d54c10-c886-4708-8b3b-ffd62cd3c935✸ Newsletter: https://the-stargazy-brief.beehiiv.com/subscribe✸ Website: https://stargazy.io/✸ LinkedIn: https://www.linkedin.com/company/stargazyproposals/🌙 GUEST LINKS 🌙✸ Turingon Website: https://www.turingon.com/✸ Turingon on LinkedIn: https://www.linkedin.com/in/arunno/✸ Arthur Runno on LinkedIn: https://www.linkedin.com/in/arunno/✸ Turingon’s Stargazy Page: https://stargazy.io/proposal-tech/proposal-pilot⭐ TIMECODES00:00 Introduction to GovCon and Proposal Management03:01 Impact of FAR Reforms on Business Development04:38 What Small Businesses Can Do Right Now06:06 Strategies for Small Businesses in a Changing Landscape07:05 NEWCHAPTER07:21 Pricing Strategies in a Firm Fixed Price Environment09:41 AI's Role in Pricing and Proposal Evaluation10:39 How Proposals Are Getting Evaluated Now13:43 Compliance Shifts and Cyber Standards in Proposals19:07 Navigating AI Tools in Government Contracting19:20 Questions to Ask Proposal Tech Companies before You Buy24:25 Adapting to Cultural Shifts in GovCon26:48 How Can Proposal Professionals Adapt to the Constant Changes28:56 Preparing for Government Shutdowns32:13 Investing in Future Skills for Proposal Managers36:59 Podcast Intro.mp4🔥 Subscribe to future-proof your GovCon proposal, capture, and BD team.#GovCon #ProposalTech #Turingon #RFP #FAR19 #AIinProposals #ProposalManagement #CaptureManagement #BDStrategy #FederalContracting #GovConAI #ProposalAutomation #ComplianceWriting #PriceToWin #FedRAMP #CMMC #GovTech #RFPSoftware #AcquisitionReform #ProposalThroughput💬 Your TurnWith FAR changes, pricing pressure, and AI-assisted evaluation accelerating, what part of your federal proposal workflow needs to adapt first?

✨ See mytender.io on stargazy: https://stargazy.io/proposal-tech/mytender-ioWhat if bid-writing software actually understood your past tenders, subject-matter experts, case studies, and evaluation criteria...and drafted winning proposals for you?In this episode, Jamie, Co-Founder and Chief Product Officer of mytender.io, walks us through how AI-native bid writing is transforming procurement, facilities management, construction, and enterprise tenders. Jamie explains how mytender.io automates repetitive writing tasks so proposal managers can refocus on strategy, storytelling, and winning. You’ll hear about how AI is already streamlining bid writing workflow and what to watch out for when bringing AI into your proposal process.⭐ WHAT YOU’LL LEARN:✵ Why sectors like construction, facilities management, and general contracting are ripe for AI-driven bid writing✵ How mytender.io learns from previous submissions to generate relevant first drafts and minimise manual rework mytender.io✵ Why bid writers remain essential: AI drafts, humans refine, preserving tone, compliance, and organisational voice✵ How to use AI for bid/no-bid decisions, capture-phase research, and faster response turnaround✵ What high-performing bid teams do differently, like balanced win themes, clear storyboarding, and strategic review, not just automated writing✵ Practical tips for embedding AI tools into existing workflows without disrupting team dynamics or quality🌟 FIND ON STARGAZY 🌟✸ Community:https://stargazy.circle.so/join?invitation_token=0856b517503bca21eecbae1d058313543675481b-28d54c10-c886-4708-8b3b-ffd62cd3c935✸ Newsletter: https://the-stargazy-brief.beehiiv.com/subscribe✸ Website: https://stargazy.io/✸ LinkedIn: https://www.linkedin.com/company/stargazyproposals/🌙 GUEST LINKS 🌙✸ mytender.io Website: https://mytender.io/✸ mytender.io on LinkedIn: linkedin.com/company/mytender-io/posts/✸ Jamie Horsnell on LinkedIn:https://www.linkedin.com/in/jamie-horsnell/✸ mytender.io's Stargazy Page: https://stargazy.io/proposal-tech/mytender-io⭐ TIMECODES00:00 Why mytender.io was founded02:15 The pain point: why bid writing frustrates SMEs & agencies06:42 How AI learns from past bids and drafts first versions12:34 Where human bid writers add strategic value18:20 Challenges: tone, compliance, formatting, org readiness24:57 Practical advice for integrating AI today31:44 What mature bid teams do differently (win themes, storyboarding, review)35:03 When AI + humans move you from admin to strategy

🌟 Trampoline on Stargazy: https://stargazy.io/proposal-tech/trampoline-aiWhat if proposal software actually understood your documents, your experts, your case studies and your procurement evaluator?In this episode, Edouard Reinach, CEO and co-founder of Trampoline AI, reveals how AI-native proposal tech is really changing AEC, professional services, and enterprise bidding.Edouard has worked on both sides of RFPs, procurement and proposals, so this conversation is pure insider intel. You’ll hear how teams are rewriting their entire workflow using visual language models, agentic flows, and automated knowledge management that actually works in real bids.⭐ WHAT YOU'LL LEARN:✵ Why AEC and professional services proposals are NOT “too bespoke” for AI✵ How Trampoline reads PDFs, tables, images, and even video, with spatial understanding✵ How to use AI to extract CVs, project sheets, and case studies without ruining quality✵ The “journalist method” for case study collection (SMEs respond instantly)✵ What procurement reviewers really scan for in the first 2–3 minutes✵ How evaluators use AI right now and why structure is your biggest advantage✵ Why you should start every proposal with a “Save the Cat” moment✵ How to build a modern proposal team using judgment + AI (not prompts)✵ How proposal teams can prove strategic value to CROs and sales leadership✵ The ROI argument that gets tools like Trampoline approved✵ Why the Go/No-Go engine changes team behavior in 3 minutes🌟 FIND ON STARGAZY 🌟 ✸ Community: https://stargazy.circle.so/join?invitation_token=0856b517503bca21eecbae1d058313543675481b-28d54c10-c886-4708-8b3b-ffd62cd3c935✸ Newsletter: https://the-stargazy-brief.beehiiv.com/subscribe✸ Website: https://stargazy.io/✸ LinkedIn: https://www.linkedin.com/company/stargazyproposals/🌙 GUEST LINKS 🌙 Trampoline AI Website: https://www.trampoline.ai/Go/No-Go Engine (Free): https://gonogo.trampoline.ai/enEdouard Reinach on LinkedIn: https://www.linkedin.com/in/ereinach/Trampoline LinkedIn: https://www.linkedin.com/company/trampolineai/✸ Trampoline AI's Stargazy Page: https://stargazy.io/managed-services/tendium-managed-services⭐ TIMECODES00:00 Intro — Why Trampoline is different01:03 What AEC firms misunderstand about “non-standard” proposals01:49 How Trampoline reads any format (PDF, Excel, images, video)03:12 Why writing isn’t the hard part, but project management is04:39 Fixing case studies + CV chaos in AEC06:02 The “journalist” method for SME interviews07:21 How SMEs actually respond (and why disagreement is gold)08:11 What procurement really looks for in CVs + case studies09:49 Why structure beats long responses in evaluation10:00 Do procurement teams use AI to score RFPs?12:18 Can AI improve win rates? What’s realistic vs hype13:52 How teams safely increase RFP volume without burnout14:06 Go/No-Go engines and objective qualification15:46 The real quality-of-life impact of AI in proposal teams16:14 How proposal teams should talk to leadership about budget17:44 Turning proposal work into revenue math19:11 Why some proposal teams get treated like strategists21:59 Building a defensible business case for AI-native tools23:11 What to automate first (and what AI still can’t do well)24:38 Document shredding preferences and customization26:30 The future of storytelling in proposals28:21 Why exec summaries fail—and how to write the first 3 pages29:44 How to build a modern proposal team from scratch31:44 The missing piece: win-loss synthesis as strategy32:58 Writers, judgment, and the human side of narrative35:03 Why proposal teams should take demos without waiting for permission35:57 Where to find Trampoline