What we build

AI systems and software that actually run.

Not prototypes. Not slide decks.

Production systems connected to your data, integrated with your tools, running from day one.

Book a 30-min working sessionView engagement model↓
How it works

Systems that run your business.

From inputs to execution — not just answers, but actions.

Most AI implementations stop at the interface layer — a chat window that answers questions. We build deeper: agents connected to your real tools, taking real actions, completing real workflows.

WhatsApp / Email
Forms / APIs
Documents
RootOps AgentIntelligence Core
✓ Approval sent
✓ Record updated
✓ Team notified

AI doesn't fail because of models. It fails because it never integrates into real systems. We build that integration.

Most AI projects die in pilot not because the model failed — but because nobody connected it to the actual tools, data, and workflows that run the business. Every system we build is production-first: integrated, monitored, and running under real conditions from day one.

01 — AI Systems

AI Agents & Automation

Agents that take action — not just answer questions.

Process documents. Route requests. Update systems. Run workflows end-to-end without manual intervention. Connected to your tools, handling real inputs, reliable under real conditions.

What we build
  • Internal knowledge agents
  • Approval & procurement automation
  • Customer support agents
  • Research & reporting agents
  • Document processing pipelines
  • Multi-agent orchestration systems
Built for production
  • Connected to your real tools
  • Handles real-world edge cases
  • Error handling and fallback logic
  • Monitoring and cost controls
  • Full audit trail
  • Documentation for your team
OutcomeA production AI system running inside your operations — handling real work, with visibility and control from day one.
How we build production agents
1
Workflow mapping
Map the exact process — inputs, decisions, outputs, edge cases — before writing a line of code
2
Integration architecture
Connect to your real data sources and tools — not sandboxed test environments
3
Production hardening
Error handling, fallback logic, rate limiting, logging, monitoring — built in from day one
4
Deploy & handover
Live in production with dashboards, alerts, and documentation your team can own
2 wks
Typical deployment
24/7
Runs without intervention
What good architecture looks like
Frontend
React / Next.js
API & Business Logic
Node.js / FastAPI
AI & Automation Layer
Agents / Pipelines
Data & Infrastructure
PostgreSQL / Redis / S3
→Architecture first
→Incremental delivery
→Performance built in
→Observability included
02 — Product Engineering

Web & Mobile Applications

Built for scale from day one.

Products designed to handle real users, real load, and real growth — without rewrites. Architecture decisions made at the start that hold up when you're 10x bigger.

What we build
  • SaaS platforms
  • Customer-facing web apps
  • iOS and Android apps
  • AI-powered product features
  • Internal tools & dashboards
  • API design and backend systems
How we build
  • Architecture before code
  • Working software every 2 weeks
  • Performance built in, not added later
  • Observability included by default
  • Documentation your team can use
  • Full handover session at delivery
OutcomeA deployed, production-ready product — built to handle 10x your current load without a rewrite.
03 — Operational Platforms

Operations & Compliance Systems

Replace manual processes with structured systems.

No more WhatsApp approvals. No more Excel tracking. Everything structured, visible, and auditable — built for teams that need control without complexity.

What we build
  • Procurement & vendor systems
  • Approval workflow automation
  • Inventory & asset tracking
  • Compliance & audit systems
  • Contract intelligence
  • Document processing pipelines
What changes
  • Requests tracked from submission to close
  • Approvals routed automatically
  • Full audit trail from day one
  • Management visibility in real time
  • Compliance monitored continuously
  • Zero manual data entry
OutcomeSystems that run reliably — with full visibility, audit trail, and control that holds up when auditors ask questions.
Approval needed for PO #7890?
Wait, Excel shows PENDING
I thought it was approved yesterday?

WhatsApp approvals · Excel procurement · Manual filing

Nobody knows what's been approved

Purchase Order #7890

Approved & Synced

Audit Trail: ActiveJust now

Structured approvals · Real-time dashboard

Full audit trail · Compliance monitoring

What a Root CTO engagement delivers
Week 1
Understand the landscape
Codebase reviewTeam assessmentRisk identification
Week 2–3
Architecture & roadmap
Architecture decisionsTech debt prioritisation18-month roadmap
Month 2 onwards
Embedded leadership
Weekly check-insHiring supportAsync availabilityInvestor prep
04 — Technical Leadership

CTO Advisory

Senior engineering leadership, without a full-time hire.

Architecture, roadmap, hiring, scaling — with experience from real production systems. The judgment that comes from having been on the other side of these decisions before.

What this covers
  • System architecture & design
  • Technology roadmap
  • Engineering hiring
  • Scaling teams & systems
  • Vendor & tool evaluation
  • Investor & board support
Who this is for
  • Founders without a technical co-founder
  • Technical founders who've outgrown their stack
  • Companies between CTOs
  • Teams preparing for fundraising
  • Companies scaling past 20 engineers
OutcomeClear technical direction — and decisions that hold as you scale.
Engagement Model

Start small.
Prove value. Scale from there.

Every engagement leads to something running in production. Scoped clearly upfront.

01
Sprint

Map workflows, systems, and the highest-value AI opportunities.

02
Agent

Deploy one production AI workflow connected to real tools.

03
Build

Turn the validated workflow into a durable product or platform.

04
Scale

Add reliability, leadership, and operating discipline as volume grows.

Sprint

2 weeks · Discovery

We map your workflows, systems, and AI opportunities. You leave with a clear, prioritised plan of what to build first and why.

Outcome: Clear, prioritised build plan
Best for: Teams starting their AI journey

Agent

2–4 weeks · AI deployment

We design and deploy a production AI agent for one real workflow. Connected to your tools. Handling real work from day one.

Outcome: One live AI system in production
Best for: Proving ROI quickly

Build

8–16 weeks · Full product

We design and ship a complete system or product — built for the scale you're heading toward, not just the scale you're at.

Outcome: Live product with real users
Best for: Building core products or platforms

Scale

Monthly · Ongoing leadership

Senior engineering leadership embedded in your team. Architecture, hiring, roadmap, execution.

Outcome: Strong technical direction from week one
Best for: Companies scaling aggressively
Process

Three steps.
No fluff in between.

Every project follows the same disciplined process.

1

Discover

We understand your workflows, systems, and data. Not a surface-level audit — a deep look at what actually runs your business and where the real bottlenecks are.

2

Build

We design and implement the system. Production-grade from the first line of code. No throwaway prototypes that need to be rebuilt when real load arrives.

3

Deploy & Scale

We run it in production with monitoring, reliability, and documentation your team can own. We're done when it runs — not when it's written.

Start a conversation

You've seen the demos.
Now let's build the real thing.

Tell us what's manual, slow, or broken in your operations. We'll tell you what to build next.

No sales pitch. No proposal until we know it's the right fit.