Live Context AI Agents
AI agents that assemble task-specific answers from databases, business tools, APIs, streaming operational data, and finance systems — only what the job requires, when it is needed.
~-60%
Time to Answer
Less manual data gathering
~-70%
Cross-System Lookups
Fewer tool switches per task
~+40%
Decision Confidence
Sourced, verifiable responses
~+55%
Daily Active Users
Teams adopting agent workflows
Answers Trapped in Silos
Teams needed a single view across ERP, plant systems, supplier portals, and financial reports to make daily decisions. Information lived in separate tools and static exports, forcing staff to hunt through dashboards, spreadsheets, and ticket queues before they could act.
Task-Aware Agent Layer
We implemented AI agents that reason over connected enterprise sources at query time. Instead of generic chat responses, each agent gathers the right combination of structured records, API data, tool outputs, and live streams to answer the specific question in front of the user.
How Agents Are Used
Sources on demand ▾
Agents reach into databases, internal applications, REST and event APIs, shop-floor telemetry, and finance systems — selecting only the inputs relevant to the current task.
Answers with context ▾
Responses combine inventory positions, production status, open orders, and cost signals in one place so teams stop reconciling numbers across five screens.
Connected follow-through ▾
When an answer implies action, agents can trigger approved updates in downstream tools rather than leaving users to copy results manually.
Traceable retrieval ▾
Every source consulted is recorded with the response, so users and auditors can see exactly what informed each conclusion.
Sources on demand
Agents reach into databases, internal applications, REST and event APIs, shop-floor telemetry, and finance systems — selecting only the inputs relevant to the current task.
Answers with context
Responses combine inventory positions, production status, open orders, and cost signals in one place so teams stop reconciling numbers across five screens.
Connected follow-through
When an answer implies action, agents can trigger approved updates in downstream tools rather than leaving users to copy results manually.
Traceable retrieval
Every source consulted is recorded with the response, so users and auditors can see exactly what informed each conclusion.
Faster Decisions from Live Data
Operations and finance teams shifted from searching systems to asking agents — cutting decision latency while improving confidence in the data behind each answer.