A global innovation firm focused on building best in class digital products across platforms. #RightTheFuture
Toronto, Ontario
Joined August 2015
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Workday is buying hubs.la/Q04ByGfB0 to govern what AI agents can access across enterprise systems. Signed last week, not yet closed.
Registering your agents was the easy half. The harder half:
→ which systems it can reach
→ what it can do there
→ when access ends
Those belong in the workflow design, not a cleanup pass after the pilot.
#AgenticAI #IdentityGovernance #EnterpriseAI #AIAdoption
We’re going to NAB Show New York next week!
Rich Gigante and Leo Giel are at the Javits Center on October 21 and 22. They want to spend the two days talking with media and broadcast teams about what they’re building with AI, what’s working and what’s stuck.
If you’re going, grab 30 minutes with them. Coffee, a hallway, wherever you are between sessions.
hubs.la/Q04BjqRq0
#NABShowNY #MediaTech #AIinMedia #TribalScale
Google Search referrals to publishers: down 40.2% in a year. The year before, down 21.9%. Search fell from about 9% of pageviews to 5%. 🧵
Media AI spend points the other way.
→ 64% of news leaders rate back-end automation very important, 33% say the same of commercial uses (Reuters Institute)
→ 87% of M&E boards approved major AI investments, 17% have agentic AI fully integrated (Grant Thornton)
A cheaper article does not help if fewer people reach it. The channel that still grows is the one you own, and owning it means building the product a reader comes back to.
#AINative #MediaIndustry #Publishing #TribalScale
If it doesn't write back, it isn't live.
Chat island with no write-back stays theatre. Live gate into CRM / ERP / workflow ships.
We build the AI-Native enterprise.
#AINativeEnterprise #EnterpriseAI
One model in production is a project. Ten is an operating model.
Banks stall after the pilot works because every new use case rebuilds the same foundation: data access, pipeline, monitoring, approvals.
Build those once and the next team inherits them.
hubs.la/Q04zD8Vf0
#EnterpriseAI #FinancialServices #AIGovernance #AINativeEnterprise
Google froze its open-source bug bounty last week rather than staff the review. Most submissions were automated, most were invalid
Same week: OpenAI shipped a model at one-fifth the price of the one it replaces.
Generation got cheaper. Approval didn't. This week's Navigator on what that costs.
Subscribe at hubs.la/Q04ztVrB0
#EnterpriseAI #SoftwareDelivery #AIGovernance #EngineeringLeadership
🧵 76% of banks see technology primarily as an engine for efficiency. 24% see it as a way to generate growth.
That split made sense when the core business was stable.
The ambition is there. Forrester research for Mastercard finds most financial institutions say AI is important for innovation. Only 6% describe themselves as innovation-led.
Building is cheaper than it was: successful ventures reach $10 million in revenue in 31 months, down from 38, per McKinsey.
The gap is not ideas or budget. It is getting a new product to production outside the core.
More at tribalscale.com
#Banking #FinancialServices #VentureBuilding #EnterpriseAI
Barclays expects Claude Code to reach 50% of developers by year-end. Anthropic cites a Global Markets workflow handling about 120,000 emails a day. That's adoption and workload scope, not proof of business impact. Track cycle time, quality, exceptions and customer outcomes.
Strategy that ends in production.
#EnterpriseAI #BankingTech #AIGovernance #FinancialServices
Seven of North America's largest banks have AI in production.
JP Morgan Chase in lending. RBC in trading. TD in mortgage decisions. Bank of America, Wells Fargo and Scotiabank in fraud detection.
Which workflow changed, and who owns the result when it ships?
hubs.la/Q04yZdfJ0
#FinancialServices #EnterpriseAI #Banking #AIinProduction #WorkflowDesign
84% of manufacturers report measurable value from AI. About one in five use cases is scaled consistently across sites.
Value shows up in a pocket. It stays there. 🧵
Deloitte, AI in Manufacturing 2026
Korn Ferry found half of industrial workers say they are not getting the training they need for AI and automation.
The constraint sits in how the product was designed.
Software an operator cannot run mid-shift, without stopping the line, never reaches the P&L. Scaling starts as a design problem.
Build with us at tribalscale.com