Board and executive product strategy
Translate product, data, AI, engineering, customer adoption, roadmap tradeoffs, and market timing into clear executive discussion.
Advisory
Board-level judgment for product, AI, data, and SaaS execution.
Hesom brings founder/operator experience to advisory, board, diligence, and executive conversations where product strategy, data quality, AI readiness, technical risk, and market execution have to connect.
Direct Summary
Useful advisory starts with the operating problem.
The strongest conversations are not abstract technology reviews. They connect customer workflow, product adoption, engineering reality, data trust, AI claims, market timing, growth model, and executive accountability. Hesom has operated across bootstrapped, VC-backed, and PE-backed environments and has participated in board meetings, board presentations, and diligence from both sides of the table.
AI and data readiness
Assess whether a SaaS product has the data quality, workflow context, governance, and evaluation discipline needed for useful AI.
Product and technology diligence
Help investors, acquirers, and operators understand architecture, data rights, reliability, team capacity, roadmap credibility, and platform risk.
Founder and operator coaching
Work through prioritization, customer feedback, product-market proof, leadership cadence, and growth decisions with founders and executive teams.
Diligence Lens
Questions that separate product substance from surface area.
In data-heavy SaaS, the real risk often sits below the demo: source authority, data rights, adoption depth, implementation cost, security, roadmap credibility, and whether the team can explain how the system produces trust.
- Is the product solving a repeated workflow, or only presenting data?
- Can the team explain source authority, freshness, lineage, and confidence?
- Which AI claims are grounded in working product behavior and which are roadmap language?
- Does the architecture support enterprise reliability, security, reporting, and implementation realities?
- Do roadmap priorities connect to revenue, retention, user growth, margin, or customer trust?
- What has to be true for the company to scale under bootstrapped, VC-backed, or PE-backed ownership?
Case studies Representative operating proof across founder work, financial data, SaaS growth, and platform scale. Operating philosophy The product, data, AI, and company-building principles behind the advisory lens. Writing Briefs on AI, data quality, advisor intelligence, enterprise SaaS, and founder-led operations.
Contact
For board, diligence, product, AI, or data conversations.
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