InTheCloud is an AI consulting and implementation partner for state and local agencies — resident service and 311 copilots, permit and benefits case processing, records requests and call-center automation — deployed in your agency's cloud with audit, accessibility and people in charge of every decision.
Our senior engineers work alongside agency IT and program leaders to move AI from pilots to production across Salesforce, ServiceNow, Accela, Tyler and legacy systems. Engagements are milestone-based, prove accuracy on agency data in 4 to 8 weeks, and reach production with security authorization, governance and fallback controls in place.
We work with agency leadership, program owners and the CIO's office to pick use cases tied to backlog, wait times or staff capacity.
We connect to real case, policy and service data and prove accuracy and fairness against an evaluation suite before any resident sees it.
We harden the system, integrate with identity and systems of record, and support security review and authorization packages.
We hand over runbooks, governance and trained agency staff so the program can run and extend without long vendor dependency.
Grounded, multilingual answers from agency policy and service data, with clean handoff to staff and every answer traceable to its source.
Document intake, extraction and completeness checks that cut caseworker time while keeping eligibility decisions with people.
Search, triage and redaction support that shortens records-request turnaround and keeps an auditable trail.
Voice and chat agents for status checks and common questions, reducing hold times during peak periods.
Permission-aware search across ordinances, statutes, manuals and procedures so staff find the current rule fast.
Help for new and existing staff on internal processes, preserving institutional knowledge as experienced employees retire.
Golden datasets, rubric graders and release gates that make AI changes reviewable and auditable.
Read: Evaluation harness for regulated dataConsolidated fragmented records into one governed platform, the foundation grounded assistants read from.
Read: Governed data platformsAI tools that respect the same role-based permissions as agency systems of record.
Read: Identity and access integrationSee how we combine applied AI, cloud modernization and software engineering in production.
See Relevant WorkA focused 4 to 8 week engagement designed to determine whether one enterprise AI workflow can create measurable production value before committing to a larger implementation. It produces:
When the evidence supports production, the engagement can continue into a Production AI Implementation or AI Engineering Pod.
Discuss an AI Proof of ValueWhere staff spend the most time reading, searching and re-keying: case intake, records requests and repeat resident questions. The rules already exist, the output is checkable, and backlog reduction is measurable.
We keep people in charge of every eligibility, enforcement or benefits decision. AI prepares the file; staff decide.
Every answer cites its source, every interaction is logged, and the evaluation suite tests for accuracy and consistent treatment across groups before release.
The system runs in your tenancy and can be turned off without affecting the underlying service.
Resident service and 311 copilots, permit, license and benefits case processing, document intake, public records (FOIA) request handling, call-center deflection, and policy and code search for staff.
We deploy in your agency's AWS GovCloud, Azure Government or Google Cloud tenancy, align with StateRAMP and FedRAMP-authorized services, and design for CJIS, IRS 1075 and state privacy requirements where they apply.
No. Data stays inside your tenancy, models are called through government or enterprise endpoints with zero data retention, and every interaction is logged for audit.
Yes. We scope work as fixed, milestone-based deliverables that fit cooperative contracts, task orders and pilot budgets, with clear acceptance criteria at each phase.
Resident-facing surfaces are built to WCAG 2.1 AA and Section 508, with multilingual support for the languages your community uses.
4 to 8 weeks to an evaluated prototype on agency data; production typically takes 3 to 6 months per use case, depending on security authorization and integration.
End-to-end AI delivery for enterprise teams.
Advising, enrollment and campus service AI.
Multi-step agents, tool use and bounded autonomy.
MCP servers, agent loops and VPC deployment.
When to license a vendor and when to build.
Tell us about the engagement. We typically respond within one business day with a named Builder who can talk substance — not a generic sales pitch.
Prefer email? info@inthe.cloud
What happens next
