Find the right procedure.
Help staff navigate approved SOPs, handbooks, and policies with answers that point back to the source.
AI FOR BUSINESS & LOCAL GOVERNMENT
Turn the information your organization already trusts into focused AI workflows. Clear sources. Controlled access. A practical place to start.
Resident: I lost my car registration. How do I get a replacement?
County: Request a duplicate online or at the tag office. You need your plate number and photo ID. Fee: $5.
cedarvale.example/tags
Resident: Are you open Saturday?
County: No. The tag office is open Mon–Fri, 8 a.m.–4:30 p.m.
01 / PRACTICAL APPLICATIONS
You don't need to automate everything. Begin with a useful workflow and a clearly defined set of information.
Help staff navigate approved SOPs, handbooks, and policies with answers that point back to the source.
Explore meeting minutes, agenda packets, and project documents to find decisions and their supporting records.
Give residents a more natural way to ask routine local government questions using approved public information.
02 / THE MERCURY FAMILY
Different audiences. Different data boundaries. The same focus on useful answers and responsible operation.
Open to pilot discussions
An AI workspace for the internal knowledge
your team is approved to use.
Mercury Launchpad provides a workspace for focused workflows over approved documents, files, and data sources. The private platform is designed around customer-specific runtime boundaries and local model execution.
Open to pilot discussions
A clearer path from resident questions
to government information.
Mercury Civic AI is being developed to help residents ask routine questions in everyday language and receive answers grounded in approved government sources. The initial pilot focuses on inbound SMS.
Civic uses a separate hosted-model architecture. Pilot scope and deployment requirements are agreed with each organization.
03 / BUILT WITH BOUNDARIES
We start with the sources, access rules, and oversight a workflow needs. Those boundaries shape how the system works.
Define the documents and data sources a workflow can use. Keep answers tied to that approved scope.
Design document-based workflows around citations so staff can review the evidence behind an answer.
Start with read-only workflows. Agree on permissions and approval requirements before adding actions.
The private platform is designed for local model execution within customer runtime boundaries. Mercury does not train language models on customer data.
04 / A PRACTICAL FIRST STEP
Both the private platform and Mercury Civic AI are open to pilot discussions. A focused pilot starts with a clear use case and a shared definition of success.
Identify a recurring task or information need worth improving.
Choose the approved information, users, and access boundaries.
Test known questions, review source accuracy, and decide what comes next.