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From the enterprise blog – Page 3

Practical answers about private AI, document processing, and agents at work.

33 articles · Page 3 of 3

Enterprise agents
What belongs in an AI agent audit trail?
Build an observable record of who requested an agent action, what was authorized, what ran, and which result was confirmed in the target system.
Sarath Chandran
Sarath Chandran
June 9, 20265 min read
Private AI
Private AI costs: building a total-cost-of-ownership model
Build a private AI cost model that separates infrastructure, staffing, support, utilization, and successful workload completion using explicit assumptions.
Sarath Chandran
Sarath Chandran
June 5, 20265 min read
Document processing
Why table extraction fails even when the text is correct
Evaluate headers, merged cells, units and page continuations so extracted table values retain their original relationships.
Sarath Chandran
Sarath Chandran
June 2, 20266 min read
Enterprise agents
Human approval for AI agents: what reviewers need to see
Design action reviews that show the target, proposed change, authority, and consequences, then test edits, expiry, rejection, and execution results.
Sarath Chandran
Sarath Chandran
May 29, 20269 min read
Private AI
On-premises AI privacy: which data still leaves your network?
Map model calls, telemetry, downloads, tools, identity, and support traffic to determine what an on-premises AI deployment actually sends outside its boundary.
Sarath Chandran
Sarath Chandran
May 26, 20266 min read
Document processing
How to choose confidence thresholds for document extraction
Choose extraction review thresholds using labeled examples, field importance and the cost of errors instead of a universal confidence cutoff.
Sarath Chandran
Sarath Chandran
May 22, 20266 min read
Enterprise agents
How to evaluate an enterprise knowledge assistant
A practical evaluation method for enterprise knowledge assistants: define scope, assemble evidence-backed questions, test freshness and access, and make a traceable acceptance decision.
Sarath Chandran
Sarath Chandran
May 19, 20269 min read
Private AI
Private AI deployment planning: on-premises, private cloud and air-gapped
Plan a private AI deployment around data boundaries, workloads, infrastructure ownership, integrations, updates, recovery, and evidence of production readiness.
Sarath Chandran
Sarath Chandran
May 15, 20268 min read
Document processing
AI document processing: a practical evaluation guide
Plan an AI document processing workflow with clear output requirements, representative test documents, source evidence, review rules and delivery checks.
Sarath Chandran
Sarath Chandran
May 12, 202610 min read

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