Brainforge Knowledge

themes

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Emerging Themes from Agency Research

Purpose: Track patterns and themes across agency conversations to inform strategy.

Last Updated: 2026-02-12
Total Conversations: 1
Total Themes: 5

Theme 1: Speed as Competitive Advantage

Description: Agencies are frustrated by slow traditional consultancy timelines and value rapid implementation.

Evidence:

  • Jocelyn (Ayzenberg) impressed by “2 weeks versus a year with traditional consultancy”
  • Mid-maturity agencies want proof of value quickly, not long commitments
  • Need for fast iteration over big-bang projects

Implications:

  • Lead with speed in all messaging
  • 2-week sprint model is a key differentiator
  • Case studies should highlight timeline compression
  • Avoid language that suggests long engagements

Confidence Level: Medium (1 data point, but strong signal)

Theme 2: The ROI Measurement Gap

Description: Agencies are adopting AI tools but struggle to measure and demonstrate return on investment.

Evidence:

  • “Seeing people use co-pilots but not seeing the ROI on it” (Ayzenberg)
  • Tool adoption is happening, but impact measurement is not
  • Risk of AI fatigue if value isn’t proven

Implications:

  • Build measurement into every engagement
  • Create ROI measurement framework/service offering
  • Content opportunity: “How to Measure AI ROI in Agencies”
  • Before/after metrics are critical for case studies

Confidence Level: High (likely widespread beyond this conversation)

Theme 3: Internal Systems Over Client Work

Description: Agencies are building internal AI systems (knowledge bases, automation) before/alongside client AI work.

Evidence:

  • Ayzenberg building internal knowledge base (big project with Michael)
  • Soulmates.ai platform for internal research processes
  • Focus on backend workflow automation
  • “Build for ourselves first” aligns with Brainforge’s approach

Implications:

  • Internal operations are a primary use case
  • Knowledge bases are a major opportunity
  • “Build what you use” resonates as positioning
  • Content: Show our internal tools as proof

Confidence Level: Medium-High (one example, but significant investment signals broader trend)

Theme 4: Cross-Functional Silos as Blocker

Description: Agency departments (BI, social, brand) operate in silos with disconnected data and tools.

Evidence:

  • “BI team doesn’t care what social media team wants for research”
  • “Brand managers have questions and aren’t getting answers”
  • Data exists but isn’t accessible across functions

Implications:

  • Unified data access is a key value prop
  • Chat interfaces on top of existing data (like Soulmates approach)
  • Cross-functional workflows should be highlighted
  • Content: “Breaking Down Agency Data Silos”

Confidence Level: High (classic agency structure problem)

Theme 5: Enterprise Client Influence

Description: Agencies are working with enterprise clients (Walmart, Ubisoft) whose AI policies and internal agency strategies affect agency operations.

Evidence:

  • Walmart building internal agency to reduce external agency dependency (Ashley Owen)
  • Ubisoft teams have variable AI maturity and restrictions
  • Enterprise “board directive to show positive AI adoption” (from Uttam call notes, relevant context)

Implications:

  • In-house agency trend is real (threat or opportunity?)
  • Agencies may need to position as enablers/trainers for client internal teams
  • Enterprise AI adoption complexity creates consulting opportunities
  • Could we serve both agencies AND their enterprise clients?

Confidence Level: Medium (early signal, but significant)

Theme Intersections

Speed + ROI Measurement

Fast delivery PLUS clear metrics = powerful combination. Agencies want both.

Internal Systems + Cross-Functional Silos

Building internal systems (knowledge bases) that break down silos = high-value offering.

Enterprise Influence + Agency Positioning

As enterprises build internal agencies, external agencies may shift from “doing the work” to “enabling the client to do the work” (like we’re doing with Lilo).

Questions for Future Research

  • How prevalent is the “in-house agency” trend? Is this a threat or opportunity?
  • What other internal systems are agencies building? (Beyond knowledge bases)
  • Are smaller agencies (boutique) experiencing different themes than mid-size?
  • How do agencies currently measure ANY business impact (not just AI)?
  • What role does client AI maturity play in agency tool adoption?

Watch List: Themes to Validate

  • Co-pilot fatigue: Are agencies getting tired of tools that don’t show value?
  • Platform consolidation: Do agencies want fewer tools or more specialized ones?
  • Client education: Are agencies being asked to educate clients on AI?
  • Competitive pressure: Is AI adoption driven by fear of being left behind?

Changelog

2026-02-12: Initial themes document created from Ayzenberg conversation. 5 themes identified.

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