))
Taming AI Tool Sprawl: from siloed features to a shared AI layer across the enterprise
Manage episode 520501517 series 3589523
Content provided by Dominic Wellington & Guy Murphy — SnapLogic, Dominic Wellington, and Guy Murphy — SnapLogic. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Dominic Wellington & Guy Murphy — SnapLogic, Dominic Wellington, and Guy Murphy — SnapLogic or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
We explore how embedded AI in SaaS tools amplifies sprawl and risk, and outline a practical path to governed, composable, cross‑platform agents. Chris Ward shares real use cases for Customer 360 and finance reconciliation, plus metrics, onboarding and versioning that keep AI accountable.
The LinkedIn post that kicked everything off
More details on the finance use case Chris discussed
SnapLogic's own support for MCP
Chapters
1. Welcome And Guest Introduction (00:00:00)
2. AI Features Flood Into SaaS (00:02:35)
3. Governance Risks Of Non‑Deterministic Tools (00:03:55)
4. Cross‑Platform AI And Data Silos (00:06:10)
5. From Warehouses To AI‑Generated Context (00:08:25)
6. Persisting Outputs And Vector Stores (00:10:20)
7. Metadata Registry For Agents (00:12:55)
8. What Makes Agent Metadata Different (00:15:10)
9. Concrete Use Cases: Customer 360 (00:16:35)
10. Measuring Sentiment, Churn, And Usage (00:19:30)
11. Reuse And Observability Patterns (00:21:10)
12. Semantic Integrations Over Syntactic (00:22:40)
13. Onboarding And SDLC For Agents (00:24:10)
14. Versioning, Gating, And Rollbacks (00:26:40)
15. KPIs For Agent Quality (00:28:15)
16. Finance Reconciliation Agent Metrics (00:30:10)
16 episodes
Share
