Research a local-code question
Ask a standalone question with the known city or county and state. Review supporting citations and completion information; an incomplete answer is not a finished finding.
For civil engineering firms · Knetyc MCP
An enterprise LLM is a powerful generalist. Knetyc takes your LLM to the next level by connecting it to local code intelligence and your firm's engineering standards, QA workflow, documents, and project history. All of this in an AI enterprise system your team already uses every day.
Move the sliders, allocate QA hours across five jobs, and see the time savings you could realize with a Knetyc boost to your AI.
6,080 engineering hours freed · 4 modeled weeks saved
$3,593,636 combined illustrative value. Memory improvement is hypothetical; uncertainty bounds are unavailable.
| Category | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Existing-work cost savings | $452,200 | $499,681 | $547,162 |
| Freed-capacity revenue | $532,000 | $587,860 | $643,720 |
| Independent new-work contribution | $105,000 | $110,250 | $115,763 |
| Total | $1,089,200 | $1,197,791 | $1,306,645 |
| Freed hours | 6,080 | 6,718.4 | 7,356.8 |
| Modeled weeks saved | 4 | 4.4 | 4.8 |
Illustrative business value only—not an MCP price quote, net-profit estimate, forecast, or approval-speed guarantee. Cost savings, revenue and margin contribution are different measures; their combined value is not profit.
Nine editable drivers. Project revenue is engineering hours × billable rate; modeled engineering cost is billable rate × (1 − margin).
Derived project revenue: $140,000. Modeled engineering cost: $148.75/hour.
Split each project’s regulatory QA hours across five jobs. Edit each share and time-saving assumption. Uncheck a job to remove its saved hours, without reallocating its share.
100% of QA hours allocated · 0% unallocated. Reduce another job’s share before increasing one. Disabled shares remain reserved.
Year-one total: 60.8 hours saved per project across enabled jobs.
Saved hours per project = regulatory QA hours × each enabled job’s share × its time-saving rate. Shares, including disabled jobs, total at most 100%; unallocated hours produce no savings. Each freed hour is valued once: retained hours at modeled engineering cost, redeployed hours at billable rate. The hypothetical memory multiplier is 1 + 15% × (year − 1) × familiar-town share; each job’s resulting time-saving rate is capped at 90%. Approval reduction is a separate assumption: 20% of today’s approval time × the multiplier, capped at half today’s approval time—not derived from job hours. Modeled approval weeks remain even with all jobs off. Independent new-work growth remains even with all jobs off; it is not caused by modeled weeks saved.
Discuss what Knetyc could do for your firm.
The Knetyc Boost
General intelligence is the starting point. The difference is context: the jurisdiction you work in, the standards you follow and the way your firm reviews a project.
| What matters | Your LLM alone | Your LLM + Knetyc |
|---|---|---|
| Local code | General training knowledge may not reflect the requirements of a particular city or county. | Research a known jurisdiction with Knetyc’s local-code tools. Engineers review the returned citations, completeness and limitations. |
| Your standards | Your firm’s engineering standards are not part of its general training. | Bring your engineering standards into all your reviews, so firm-specific requirements sit alongside local code. |
| QA workflow | Useful answers, but outside your firm’s review process. | Connect the work to your QA gates and checklists—not a separate process for engineers to manage. |
| Documents | A chat only has the documents or text you explicitly supply. | Work with documents where they already live in your approved ecosystem. Current MCP does not discover, upload or review new files. |
| City comments | One-off answers, with follow-through tracked elsewhere. | Organize city comments and draft clarification questions. Triage assignments and track through resolution. |
| Project historyThe compounding opportunity | A new chat does not automatically know how the AHJ reacted to your past projects. | Use past projects to build a firm-specific reference asset with knowledge of how to work with each municipality. |
Your enterprise AI is already an investment. Knetyc’s path is to make it more useful to your engineers—not give them another app to learn.
General questions. General answers. One conversation at a time.
Local-code research and pasted-comment support, in a supported AI client.
Your standards, documents and QA workflow brought together at each review gate.
Project history helps your AI understand how your firm works with each town.
Build on Knetyc’s local-code research with your firm’s standards, workflows and project knowledge. Confirm the services, integrations and access your firm needs with Knetyc; an MCP connection alone does not enable every workflow.
Jurisdiction and project facts matter. Knetyc adds specialist research; engineers still check citations, interpret requirements and make design decisions.
Ask a standalone question with the known city or county and state. Review supporting citations and completion information; an incomplete answer is not a finished finding.
Extract information from AHJ comments on your submitted plans, request clarification questions for ambiguity.
List accessible projects and locate saved Plan Compliance Check reports. Read your own available reports using exact identifiers. Shared project visibility does not guarantee report access. No new reviews.
Check recent requests, recorded usage and uncertain call outcomes. Not organization-wide reporting, invoices or answer replay. Missing usage is unknown, not zero.
Connect, verify, then engage
MCP access is administrator-enabled. Existing product permissions, quotas, ownership checks and MFA rules still apply; connecting an assistant does not grant unrestricted access.
Claude, Copilot Studio and custom agents have different requirements. Compatibility depends on supported transport, authentication and callback configuration. Not every client or version is verified; confirm your exact setup with Knetyc.
Bring your questions, your AI setup and the municipalities you work in. Let’s discuss your next step.