Specialist AI consultancy
AI from pilot to production in weeks.
We advise, and we build.
01 · The problem
AI is everywhere. In production, it's rare.
What blocks it: delivery · architecture · cost · visibility · security
Delivery
Pilots stall
Demos that never reach production.
Architecture
Bolted on, not built in
AI sits beside your infrastructure as separate agents, instead of inside your systems and pipelines.
Cost
Costs spike
Token spend and model costs are unpredictable.
Visibility
No visibility
Nobody can see, trace or trust what the AI is doing.
Security
Security says no
Data, compliance and access concerns block rollout.
02 · What we deliver
Outcomes, built into your infrastructure.
01
AI built into your infrastructure
Integrated into your existing systems, pipelines and platforms, not bolt-on agents.
02
Secure production agents
Guardrails and human approval on every action.
03
Observability and reliability
Tracing, evals and monitoring, e.g. LangChain/LangSmith-style instrumentation.
04
AI cost control
Token budgets, model routing, caching and usage visibility.
05
Private and local models
Self-hosted where data can't leave, built to scale.
06
Connected and AI-native
MCP and integrations done safely, plus training and handover so your teams own it.
03 · How we work
Advise and deliver, fast.
The old model: consultants advise, then leave.
Ours: we assess, build and hand over working systems.
Assess
Map your systems, constraints and the highest-value use case.
Build
Implement it inside your infrastructure, with observability and guardrails.
Hand over
Runbooks, training and ownership for your team.
Run with you
Optional: ongoing support and new use cases.
First outcome
Typically 4–6 weeks
Larger programmes
In 2–3 months
04 · Illustrative examples
What this looks like in practice.
Illustrative examples · Not client case studies
Illustrative example 01
From stalled pilot to production
A capability centre's GenAI pilot is rebuilt inside its own cloud, with tracing, evals and human approval, then rolled out.
Illustrative example 02
Predictable AI spend
A team gets token budgets, model routing and caching, with usage dashboards. LLM cost stops surprising finance.
Illustrative example 03
Data that never leaves
A regulated team runs a private model in its own network, connected to internal systems through secured MCP.
05 · For GCC leaders
Make your centre the parent's AI centre of excellence.
The shift
GCCs are moving from delivering work to owning capabilities, and AI is the biggest one.
How we help
Production AI in your centre
We stand it up with your team.
Built into your infrastructure
Secure enough for your parent's compliance.
Owned by your team
06 · In their words
Less admin. More impact.
“Working with TZero Consultancy changed how we operate day to day. Their team took the time to understand our existing processes, pinpointed where effort was being wasted, and helped us re-engineer our workflows from the ground up. The result was a reduction in manual work of almost 50%, which freed our people to focus on higher-value tasks rather than repetitive admin. TZero were practical, collaborative and easy to work with throughout, and I'd recommend them to any organisation looking to streamline its operations.”
Shashank C Pande
Co-Founder & Co-CEO · Ekamm8
Their challenge
Manual, repetitive admin work slowing the team.
What we did
Mapped existing processes and re-engineered workflows from the ground up.
The outcome
Almost 50% less manual work, with people freed for higher-value tasks.
“TZero Consultancy had a knowledgeable team that understood our problem and gave us a suitable solution and automation.”
“We had almost 50% less manual work, and our people were freed up for higher-value tasks.”
Co-CEO, Ekamm8 · Verified 5.0 review on Clutch
07 · Who we are
Built by people who've run production at scale.
Rishi Maker
Co-founder · President & CTO
Ex-Google (YouTube Data).
Ex-Microsoft (Azure Big Data, Windows).
Vijay Neelakandan
Co-founder & CEO
Ex-Director at Etsy and Google.
Founding engineer at Factory.ai.
We also build and run our own production AI product, so we know what it takes.
Faster Frames Corporation is ISO/IEC 27001:2022 certified (scope: our enterprise learning platform and related services) · SOC 2 audit in progress
08 · Start here
Start with a conversation.
Working session
60 minutes with our founders
We look at where your AI is stuck and sketch what a first outcome could look like.