Hashlogics builds and operates four SaaS products. Each one is held to the standard we sell to clients: a production system, kept running after launch. They are the proof behind the agency.
AI-native CRM
An AI-native CRM your agents can operate and your clients can own.
Every action in the app is also an MCP tool, every AI action waits in one approval queue you control, and every client gets their own database. Works with Claude, ChatGPT, Cursor or any MCP client.
salescrew.io
Read the case study →AI receptionist
An AI receptionist that answers every call, books the appointment, and tells you exactly what it heard.
Answers every inbound call, at any hour. Books into your calendar, transfers to your team when a caller asks or the AI is unsure, and sends every call as a transcript and a short summary. Priced per call, not per minute.
greetkeeper.com
Read the case study →Email verification
Email verification from our own SMTP check, and unknown results are never billed.
ZapBounce verifies your list with its own SMTP check and reports two numbers, not one: how much of the list reached a verdict, and how accurate those verdicts are. Credits never expire.
zapbounce.com
Read the case study →HR and operations
The HR and operations system for companies that run on people and projects at the same time.
HR and project delivery in one database: approved leave empties the capacity plan immediately, and timesheets feed utilisation. Every module included, no tiers. Built for agencies, software houses and consultancies.
peoplemuster.com
Read the case study →Each product is live on its own domain. The same senior engineers who build for clients keep these running, and answer when something breaks.
Monitoring, an audit trail and an approval queue for anything an AI does are not extras we add for a client. They are how we build our own products.
Agents that wait for a human before they act, a CRM that an MCP client can operate, a receptionist that hands off when it is unsure. You can try each one before you hire us to build yours.
This is what a production standard looks like when we hold ourselves to it: permissions, audit trails and a human in the loop before an agent acts.
This is the product engineering you are buying. We have taken four products from first commit to a live domain, and we build yours the same way.
We build AI agents and automation, ship them into the tools you already run, then stay on under an agreed service level. A senior engineer reads every brief, and your call gets scheduled within 24 hours.
What happens next
You send a brief or book a call
Two minutes, whichever you prefer.
A senior engineer replies within 24 hours
Not a sales rep.
Honest scoping, in writing
And if we’re not the right fit, we say so.
“I started Hashlogics because too many teams ship a demo, get paid, and disappear. We build to a standard we’d run ourselves — and we stay to keep it running.”
Abdul Basit · CEO · a direct line
12 questions to ask any AI agency before you sign. They separate a demo shop from a team that ships to production.
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