Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Terry Irwin
Vendor-reportedProfessional servicesIn productionStartupAI agentsLive 2026
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by terryirwin.com (self-reported blog). Checked against the source page on 2026-09-06. 4 of 4 figures below appear on that page word for word.
Caveat. The account is published on the customer's own site.
The problem
A Portfolio NED and Board Advisor needed to scale a one-person practice without diluting quality, brand voice, or discretion, while improving BD reach and ensuring AI governance.
What was deployed
- Products
- Claude Pro, NotebookLM, Granola, Octolens, Relevance AI, Supergrow, Buffer, Attio CRM
- Technique
- AI agents
- Build or buy
- Built in-house or to order
- Deployment
- Custom build
- Data used
- Curated watchlist of PE firms, VCs, and Board Practice contacts; long-form research sources.
- Scale
- one-person practice
- Timeline
- 2 months
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
15 hoursHours recovered per weekper week
“Approximately 15 hours per week recovered through automation of research synthesis, content drafting, and BD intelligence — freed up for client delivery and direct relationship-building.”
Quoted word for word from the source
LinkedIn engagementfrom pre-stack baselineat the time of writing (April 2026)
“LinkedIn engagement up 250% at the time of writing (April 2026), measured at interest level vs. pre-stack baseline.”
Quoted word for word from the source
3–4 posts per weekContent cadenceper week
“Content cadence sustained at 3–4 posts per week with materially higher engagement and consistent quality, rather than volume for its own sake.”
Quoted word for word from the source
100% reviewed by a humanAudit trail for public outputs
“Audit trail: 100% of public outputs reviewed by a human before publication.”
Quoted word for word from the source
Difficulties and limits
- BD reach: winning paid NED seats and growing board advisory mandates traditionally requires either a team or a punishing personal workload.
- Governance: most personal AI workflows were running unsupervised — content posted by AI without review, draft messages sent without a human in the loop, and no audit trail.
Sources
- terryirwin.com — self-reported blog, 2026-05-07
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