Ideate & scope
Define the exact problem, the constraints, and what "working" means before any code exists.
HRMAI / AI-Agent · Practical AI assistance
We build practical AI systems around your workflow.
HRMAI designs and ships AI agents, AI-powered tools, and the pipelines that run them — from first prototype to a system that keeps working after launch, with a person approving anything consequential.
BUILD_SPEC.LOG
OPERATING MODEHUMAN-REVIEWED
SCOPEAGENTS · TOOLS · PIPELINES
TEAM SIZESMALL, DIRECT
ENGAGEMENTPROTOTYPE → SHIP → ITERATE
STATUSSCOPE BY INQUIRY
This page introduces the HRMAI service. It does not launch an agent. Tool support is confirmed by inquiry; external sends, customer-record changes, purchases, and other consequential actions require explicit authorization.
What we build
Six modules we return to on every engagement — combined differently depending on what the problem actually needs.
AI-assisted agents
Task-specific agents that plan, act, and check their own work — scoped tightly enough to trust in production.
Workflow automation
Plan repetitive workflows with clear boundaries, testing, exception handling, and explicit approval for consequential actions.
Custom AI tools
Purpose-built internal tools and copilots shaped around how a team actually works, not a generic chat box.
Data pipelines
Getting messy data into a shape models can actually use, reliably, on a schedule you don't have to babysit.
Model integration
Wiring the right model to the right job — provider-agnostic, with fallbacks for when one goes down or gets slow.
AI ops & monitoring
Tracking cost, latency, and failure modes after launch — so a build stays healthy instead of quietly drifting.
Where it helps
Examples of the kind of systems we build. Each one handles the busywork and hands the final decision to a person.
Lead intake & follow-up
New inquiries from forms and email are summarized, sent to your phone, and prepared for your CRM, with record changes and replies awaiting your approval.
Document intake
Scans and downloads are read, renamed, and filed into the right folder so paperwork stops piling up in one inbox.
Invoices into spreadsheets
Line items from invoices and statements are pulled into a sheet you already use, ready to check instead of retype.
Reminders & status alerts
Tasks, approvals, and site or system problems show up as short alerts with one clear next step.
Reports from your data
Numbers from the tools you already run are gathered on a schedule and turned into a plain-language summary.
Checks before anything ships
Automated reviews catch broken links, missing tags, and risky changes before a site update or workflow goes live.
How a build runs
Four stages, in this order, every time. No stage starts until the one before it has something real to react to.
01
STAGE_01 · SCOPE
02
STAGE_02 · PROVE
Prototype
Build the smallest version that proves the hard part — usually within days, not sprints.
03
STAGE_03 · DEPLOY
Ship
Harden the prototype, wire it into real systems, and put it in front of real usage.
04
STAGE_04 · OBSERVE
Iterate & monitor
Watch how it behaves under real load, then tighten the parts that were only a guess before.
You stay in control
Every build draws the same line between what the system can do on its own and what waits for your yes.
Runs on its own
- AUTOReading, sorting, and summarizing incoming information
- AUTODrafting replies, records, and reports for review
- AUTOChecking work and flagging anything that looks wrong
- AUTOSending you alerts and reminders
Waits for your approval
- ASKSending messages to customers or anyone outside the business
- ASKChanging customer records or financial data
- ASKPurchases, payments, and publishing to a live site
- ASKAnything that cannot easily be undone
The stack
Chosen per project, not forced onto it — this is the set we reach for most often.
Models & runtime
- Claudereasoning · agents
- GPT-class modelsfallback · comparison
- Open-weight modelson-prem · low-latency
- Vector & embedding storesretrieval
Build & infra
- TypeScript / Pythoncore languages
- Serverless & edge runtimesdeploy target
- Queues & schedulerspipelines
- Usage & cost dashboardspost-launch
Have something worth building?
Send a note with what you're trying to automate or build — one real message beats a form. Send a note about what you are trying to automate or build, and we’ll follow up about fit and possible next steps.
hrmai ~$ start_build --contact=contact@kapshrm.com
Email kapshrm.com