AI & SOFTWARE

AI, built
for real work.

Articles from our enterprise development practice, covering AI agents, business systems, websites, data integration, and inbound support.

We focus on how AI can be built into practical systems for real workflows, not just introduced as a standalone tool.

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Bedrock Data's Agent DLP: Access Scope and Runtime Control

Permission settings tell you what an identity can reach. Runtime control tells you what a given tool call actually sent and received. Two controls worth keeping apart.

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What GhostApproval Reveals About Approval Screens in AI Coding Agents

Having an approval screen and giving the approver a meaningful decision are two different things. A look at the blind spot GhostApproval revealed in AI coding agents' approval design.

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73% of AI-Using Small Businesses Report an Impact on Employee Roles — What a U.S. Survey of 750 Owners and Operators Shows

73% reported an impact on roles and responsibilities, 70% on performance expectations — separating what the survey shows from what it does not.

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Designing for Continuity When AI Models Change

The problem is not that models change, but an architecture that has to be rebuilt each time they do.

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HubSpot Agent Hub and the Challenge of Shared Customer Context

The more agents you deploy, the easier it is for their views of the customer to diverge. HubSpot's announcement is a starting point for examining what shared customer state actually requires.

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Before Using AI to Speed Up a Process: Is It Ready for Automation?

AI adoption is not a binary choice between full automation and fully manual work. Depending on the process, the right next step may be to retire, standardize, assist, or automate.

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Stronger AI Governance Without More Case-by-Case Approval: What PwC's 2026 Study Suggests

Case-by-case approval is only one form of control. AI governance can also rely on upfront rules, system-enforced limits, monitoring, and exception handling.

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What If Claude Fable 5 Goes Away? Three Controllers Compared

Nine deliverables from three controllers, scored on one dataset — and where it led us.

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Moving Enterprise AI from Pilot to Production: A Look at Cognizant's New EMEA AI Unit

Building an AI pilot and running AI as part of day-to-day operations are two different problems. The structure of Cognizant's new unit is one way to read the design work that sits between them.

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