Read PDFs without rekeying every field.
Extract fields, flag missing details, and prepare records for the next step. Retain the source for review.
AI implementation
AI that helps your team finish the work.
Reduce suitable recurring effort as part of a process improvement engagement. The business case includes the cost of implementation, operation, and checking the work.
Reduce repeated handling.
Find information across scattered records.
Search permitted policies and records. Return sources so people can check answers and resolve uncertainty.
Carry recurring tasks through connected tools.
Gather records, assemble reports, and prepare responses in your existing applications, with permissions, review, and completion evidence.
Put agents to work.
We deploy Mercury for agents with persistent memory, computer access, and scheduled routines. Permissions and review follow your workflow.
Choose supported models and providers, and deploy on premises, in your cloud account, or in a hosted environment.
Explore the Mercury platformBusiness rules belong in the design.
The workflow must handle missing information, update the right record, and confirm that the action succeeded.
Known calculations and approval rules belong in conventional software. We test AI on varied documents, incomplete records, and exceptions, including review and correction effort.
Deployment scope includes data handling, access, ongoing ownership, and recovery when a step fails.
Questions before you start
What does AI implementation include?
Source preparation, system connections, permissions, review, testing, and deployment. Scope follows the task and the systems involved.
Can AI work with our existing business systems?
Yes, where suitable interfaces and permissions are available. We check data quality and how updates are confirmed; some tasks suit conventional integration better.
How do you control what an agent can do?
Tool permissions define access. Procedures set required steps and decisions. Completion checks retain evidence, with human review appropriate to the action.
How do you decide whether an AI workflow is useful?
Compare total effort, quality, cost, and actual use with the current workflow. Include review, corrections, and exceptions.
Which workflow consumes your team's time?
Tell us which documents, tasks, and systems are taking too much time.
Discuss a process