AI inside your product

AI that does a real job, not a chat widget on the side.

We build the AI feature your idea depends on, like triaging tickets or drafting replies from your docs, into a working MVP in 10 days, at about 20% of what a traditional human team would cost. The same code carries into production.

Built with this service

AI that does real work.

Grab live issue feed with root cause analysis
Developer Tools · AI

Grab

Catches issues in live apps, finds the root cause in the code and files it for a fix within hours.

Running on 20+ live apps

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Bahas chat widget on a website
Customer Support · AI

Bahas

A custom AI chatbot that hands over to a human, with ticketing and customer support built in.

15+ AI agents in production

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Takshara learner dashboard
Corporate Learning · AI

Takshara

A gamified learning management system for corporates, with enterprise-grade security.

First version in 15 days

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View all work →
What you get in 10 days

One AI feature,
doing real work.

The AI part wired into a product your users can open, not a demo that only runs on our laptop.

01

An agent with one clear job

We pick the task your users care about most, like sorting requests or drafting a summary, and build the agent to do exactly that.

02

Connected to your data

MCP connectors let the agent read from and write to the tools it needs, with access scoped to that one job. No custom glue code.

03

Guardrails you can read

When the agent isn't sure, a person decides. Every run is logged, so you can see what it did and why.

What the agent actually does

Four steps.
No magic.

  1. 01 · Trigger

    An event starts it

    A new ticket, a form, an upload. Agentic workflows run on events in your product, not on a timer.

  2. 02 · Context

    It reads what it needs

    Through MCP, the agent pulls the records, docs or history that job needs. Nothing more.

  3. 03 · Action

    It acts or drafts

    It calls tools, chains steps and writes the result back into your product, or leaves a draft for review.

  4. 04 · Check

    People see the edge cases

    Low-confidence runs go to a person. Logged edge cases feed back, so the agent improves on real use.

How is 10 days possible?

We don't just use AI.
We run on it.

Redplum Delivery OS™ is the same kind of agent setup we build into your product, pointed at our own work. It's why an MVP takes 10 days and costs about 20% of a traditional human team.

  • Quality Agent reviews every commit and catches missing tests before a human signs off.
  • Ops Agent writes your daily progress report and flags risks early.
  • Domain Skills give agents patterns for HIPAA, MLS and legal workflows, so they start out knowing the domain.
See the Delivery OS™ →
Straight answers

What AI can do
in an MVP, honestly.

01Will the AI get it right every time?

No, and we design for that. Unsure cases go to a person, every run is logged, and you see how it performs on your own data before you lean on it.

02What happens to my data?

Each agent gets only the access its job needs, through scoped MCP connectors. API keys stay on the server, never in the browser.

03Is a 10-day AI MVP ready for production?

No. It's a working product you can test with real users. When it proves out, we harden it for production on the same codebase.

04Who owns the agent?

You do. The code, the prompts and the accounts are yours from day one.

Industries we know

Agents that already know the domain.

Any idea works. In these verticals, our Domain Skills mean the agent doesn't learn the rules on your budget.

Not ready for an estimate?

See what our agents
actually produce.

Talk about AI is cheap. The Sample Delivery OS Pack shows real output from the agents that build your MVP, with client details removed.

Free · Sample pack

Sample Delivery OS Pack

  • A real Quality Agent scorecard, anonymised
  • An agent-written daily progress report
  • A walkthrough of the client dashboard

Email only. Real artifacts, client details removed.

Your AI feature.
Working in 10 days.

Tell us what you want the AI to do and we'll email you a ballpark timeline and cost within minutes. If the numbers work, we start building.

Get my ballpark estimate →

Rough estimate. No sales call. No commitment.