Architecting the Generative Canvas: A Guide to Implementing MCP UI in Angular
Linear chat to "Canvas" architectures: schemas, tools, and multi-agent interaction models.
Applied AI and Agentic Systems Integrator for Indian Enterprise
Agents in production in weeks, on a platform we built.
We wire AI agents into how your business actually runs: your workflows, your field force, your languages. Every engagement ships on Methodical, the agentic platform built at RedBlackTree.
Most enterprise AI never leaves the pilot
Demos are easy. Production is wiring an agent into your ERP, your dealer network and your approval chains, then keeping it right as your business changes. That's systems integration work, and it's the work we do.
What we do, in plain terms
What does an Applied AI and Agentic Systems Integrator do?
We find the everyday work that eats your people's time, the planning, checking, chasing and paperwork, and build software agents that take it on. Then we connect them to the systems you already use, and keep them running.
How to think about it
Think of how an engineering firm installs a new production line. It studies your process, designs the line around it, connects it to the machines you already have, commissions it, and stays on to maintain it. We do the same for the work in your offices and in the field.
Applied AI
AI put to work on a specific job
AI put to work on a specific job in your business, judged by hours saved and sales made. Not a research project, not a chatbot demo.
Agents
Software that reads, decides and acts
Software that reads, decides and acts on a task, like a dependable junior colleague who never misses a follow-up and checks with a person before anything important.
Systems integrator
Connected to what you already run
We connect that software to what you already run: your ERP, email, field app and HR records. Nothing typed twice, nothing new for your teams to learn.
For Indian enterprise
Built for how Indian business works
Built for how Indian companies work: dealer networks, teams that speak many languages, rupee budgets and India's data protection rules.
What it looks like in practice
- Field sales: Visit plans built for every rep each month, store visits verified with photos, and dealer complaints flagged to the right manager within the hour.
- People: Offer, appointment and exit letters drafted, approved and signed in one flow, on your letterhead.
- Service desks: Requests reach the right team without anyone sorting them by hand.
- Paperwork: Invoices, contracts and forms read and turned into data your teams can search and act on.
You don't need an AI strategy to start. You need one workflow that's costing you time.
Solutions for enterprise operations
Production applications and dedicated engineering pods, wired directly into the systems and field teams you already run.
SalesNet
Sales and field force
Beat planning, call intelligence and retail audits for your field team.
Methodical for HRPeople
Recruitment, onboarding, letters and exits, on your letterhead.
HelpdeskIT and service
Ticketing and routing for internal service desks.
SwitchboardCustom agents
Your workflow, your systems, built on our engine.
Dedicated podsEngineering teams
Product engineering, modernisation and 24x7 support for companies in India, the US and Europe.
Production metrics
Since 2005
Building and running software for companies in India, the US and Europe
Since 2013
Our longest current partnership, with a US multinational
2M+
Patients served by a homecare platform we built from concept
24x7
Follow-the-sun helpdesk for a global cruise line, run by a 25-person team
~350 reps
Field conversations analysed in Indian languages, every day
Powered by Methodical
We don't start from a blank page
Methodical is the agentic platform built at RedBlackTree, and we're its founding implementation partner. It gives every project prebuilt routing between systems, agents that run on the model that fits, document intelligence and an optimisation engine. You get a production system in weeks because most of the foundation is already built, tested and running.
Systems join only at Methodical. Where routes cross without connecting, they break around each other. Teal dots mark junctions through Methodical.
A delivery model designed for production
Three steps, one platform. Forward-deployed engineers build, host, and operate your agents.
01
Sprint
One workflow, one team, a price agreed up front. You get a working agent or you walk away.
02
Build
Forward-deployed engineers sit with your team and ship to production.
03
Operate
We host, run and improve your agents on a committed subscription. No big upfront bill.
Twenty years of engineering, and clients who stayed
Indian enterprise is our focus now, but we still build and run software for companies in the US and Europe. Some have worked with us for more than a decade.
Since August 2014 · Cruise planning
A global cruise line, listed on the NYSE
Its main cruise-planning system and much of the software behind its operations, plus a 24x7 helpdesk.
Since June 2013 · Embedded engineering A US multinational in climate and industrial technology
Engineers inside its own development teams for more than a decade.
First client · 2005 A US homecare software company
Our first client, built from concept in 2005; 2M+ patients served and transferred after 11+ years.
Solo founder · $190M+ raised A Silicon Valley fintech
Its first platform, built with a solo founder from concept. It has since raised $190M+.
Family finance · 5M users A US telecom operator
A family debit card product that reached 5 million active users.
Justice tech · Acquired An online dispute resolution startup
The platform courts and tribunals used to settle disputes online. Later acquired.
Built with the platforms you trust
Certified on the leading platforms, neutral on which one runs your work.
AWS Partner
We build, host, and scale agentic workloads on AWS Mumbai (ap-south-1).
Microsoft Partner
Enterprise integrations across Azure, Microsoft Teams, and Outlook.
Field notes from engineering agentic systems
Real architectural decisions, deployment notes, and trade-offs from putting agents into production.
Designing for Partnership – Core UX Principles for Trustworthy AI Agents
Design principles for human-agent partnership: predictable affordances and graceful handoffs.
The Art of the Stream: A Pragmatist's Guide to Real-Time LLM Responses
Techniques for handling real-time token streaming, state accumulation, and connection resilience.
Tell us what you need to build: an app, an agent, or a team alongside yours.
One workflow, one team, a price agreed up front. Live in weeks.