Jason Lovell โ Co-Founder
๐ ๐ฏ๐๐ถ๐น๐ฑ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐๐. ๐ ๐ฎ๐น๐๐ผ ๐ฎ๐ฑ๐๐ถ๐๐ฒ ๐ฒ๐ ๐ฒ๐ฐ๐ ๐ผ๐ป ๐๐ต๐ฒ๐๐ต๐ฒ๐ฟ ๐๐ต๐ฒ๐ ๐๐ต๐ผ๐๐น๐ฑ. That second part matters more than people think. 20+ years in tech across consumer, industrial, TMT, and public sectors โ UK and US. For most of that, my job was translating what engineers build into something a CFO cares about. New revenue. Lower costs. Better experiences. But something shifted. I stopped just advising and started building. Properly building. Agentic systems with Claude Code and Codex. Multi-agent orchestration. Autonomous triage engines. An ML-powered sound-awareness app for hearing aid users (that one's personal โ long story). I've broken enough prototypes at 11pm to know what works versus what looks good in a demo. The market is flooded with people who can talk about AI, and with people who can build it. Finding someone who does both? I've sat in enough rooms where the strategist can't read the code and the engineer can't read the room to know the gap is real. ๐ช๐ต๐ฎ๐ ๐'๐บ ๐๐ผ๐ฟ๐ธ๐ถ๐ป๐ด ๐ผ๐ป ๐ป๐ผ๐: I spend a probably unreasonable amount of my free time building agentic AI systems and stress-testing what's possible. That habit keeps surfacing gaps nobody's addressed, so I end up writing the specs too. The most developed is the Tool Bill of Materials (TBOM) specification โ supply chain transparency for AI tool ecosystems. That naturally led to two more: a Tool Security Advisory (TSA) and Skill Bundle Attestation (SBA), aligned with SLSA v1.0 and in-toto. All DOI-registered, open source, with working code. I didn't set out to do this, I just kept finding things that needed to exist. Last year I published "The Personal AI Frontier" โ a paper on decentralized, privacy-first AI architectures. My GitHub tells the real story though. 20+ public repos and growing fast โ agent orchestration, MCP interoperability testing, agentic observability, autonomous workflow engines, responsible AI blueprints, multi-provider control planes, and a bunch of stuff I started at midnight that I'm still not sure what to call. I read a lot of research papers. Probably too many. But it means I spot what's coming before it arrives, and I can tell the difference between a genuinely important shift and noise. ๐๐ฟ๐ฒ๐ฎ๐ ๐ ๐ด๐ผ ๐ฑ๐ฒ๐ฒ๐ฝ ๐ผ๐ป: Agentic AI engineering, enterprise AI strategy, LLM tooling and orchestration, multi-agent systems, AI agent security, C-suite advisory. TEDx speaker. Occasional white paper author. Constant tinkerer. If you're figuring out whether agentic AI is real or hype for your situation โ happy to talk.
Stackforce AI infers this person is a B2B SaaS expert specializing in AI and emerging technologies.
Location: Austin, Texas, United States
Experience: 16 yrs 9 mos
Skills
- Ai Strategy & Commercialisation
- Agentic Ai Engineering
- Client Solution Leadership
- Ai Commercialization
- Client Solutions
- Xr & Immersive Strategy
- Solution Development
- Business Development
- Ai Strategy
- Product Management
- Commercial Strategy
- Portfolio Management
- Mobile Strategy
- Technology Management
Career Highlights
- 20+ years in tech across multiple sectors.
- Expert in bridging AI engineering and business strategy.
- Published author on decentralized AI architectures.
Work Experience
PwC
Agentic AI Engineer & Strategist (8 mos)
AI, Emerging Tech & Alliances (PwC US Advisory) (1 yr 11 mos)
PwC UK
AI & Emerging Tech Strategy (1 yr 1 mo)
Head of XR & Immersive Strategy (2 yrs 11 mos)
Captivate: Applied Innovation (XR, AI, EmTech)
Founder & Managing Director (5 yrs)
Samsung Electronics
Senior Product Manager - VR, Wearables & SmartThings (1 yr 7 mos)
KAZAM
Product & Portfolio Director (1 yr 5 mos)
TalkTalk
Mobile Devices Manager (1 yr 4 mos)
Everything Everywhere Ltd
Senior New Device Technology Manager (1 yr 1 mo)
Handset Product Manager (2 yrs 2 mos)
Learning Consultant - Technology (1 yr 9 mos)
O2 UK
Sales Professional (9 mos)
Ericsson
3G Test Engineer (4 mos)
Education
BSc (Hons) at University of Bath
