OBZ wins ASEAN Consulting Rising Star of the Year·AWS Partner Summit ASEAN 2026

What We Do

From workflow bottlenecks to AI-native operations.

Strategy. Infrastructure. AI coworkers. One engagement — all disciplines working together.

What We Do

Four disciplines. One operating model.

01Frontier Deployed Engineers

Agentic Data Modernisation

Schema mapping, code generation, and pipeline QA running in parallel under one senior engineer. The data foundation your AI workforce builds on.

9mo
vs 20-month incumbent estimate
15 people vs 100+ quoted50% faster ETL builds
02AI Coworker Crews

AI Process Automation

Thousands of enterprise processes never redesigned for AI. We find the highest-value ones, build the crew, and run it in production on your infrastructure.

16×
revenue growth
100k+ interactions / month70% auto-resolved
03Frontier Deployed Consultants

Frontier Consulting & AI Strategy

Transformation roadmaps with ROI sequencing. Governance frameworks your regulators have already seen in production. You leave with a path, not a deck.

AI ReadinessOperating Model DesignBusiness Case ModellingGovernance Frameworks
04Frontier Deployed Engineers

Agentic & Frontier AI Systems

Multi-agent crews. Autonomous pipelines. AI systems that compound — deployed at the edge of what's possible in APJ's most regulated industries.

Agentic VM MigrationLoan OriginationHyper-personalisationRM Enablement
How We Work

Three disciplines. One engagement.

We redesign how enterprises operate around AI coworkers. Every engagement ends with governed systems running in production.

01

Vision

Identify where intelligence changes the economics of work. Transformation roadmap. AI opportunity prioritisation. Operating model design. Business case validation. You leave with a production path, not a strategy deck.

02

Build

NEO deployed inside your cloud. Hybrid squads assemble governed AI coworker crews designed for real enterprise operations. Data and AI infrastructure built for long-term scale, not pilot environments.

03

Deliver

Production systems running in weeks. Measurable outcomes before renewal conversations begin. Every deployment compounds. The second use case moves faster than the first because the intelligence foundation already exists.

Client Zero

We became AI-native before helping others become AI-native.

Recruiting, delivery, proposal generation, ETL engineering, and knowledge operations already run through AI coworkers inside OBZ. Every deployment improves the system before it reaches clients.

"We don't sell what we haven't shipped. Every tool, framework, and coworker we recommend is already running inside OBZ."

NV
Niket Vaidya
CEO & Co-Founder · OneByZero
Running
Recruiting Coworker
Sources & shortlists candidates
Running
Proposal Coworker
Drafts client proposals
Running
Research Coworker
Market & competitor intelligence
Running
ETL Crew
Data pipeline engineering
Running
Delivery Ops
Tracks delivery across accounts
OUR OPERATING PRINCIPLES

Six beliefs that shape every engagement.

PRINCIPLE 01 · WORKFORCE

AI coworkers are employees, not tools.

The way you deploy AI determines what you get out of it. Treating AI as a tool leads to point solutions. Treating it as a coworker — with a role, a scope, and accountability — leads to an enterprise that actually runs differently.

Role Cards, not prompts — Every AI Coworker has a defined role, permissions, and scope before it touches production.

Embedded in your org structure — AI Coworkers sit inside your workflows, not beside them.

Managed like headcount — Deployed, governed, and reviewed the same way you manage people.

0+
AI Coworkers deployed across 11 APJ markets
PRINCIPLE 02 · GOVERNANCE

Governance must exist before autonomy.

Most enterprise AI projects fail not because the technology doesn't work, but because the organisation wasn't ready to govern it. We build the governance layer first — access controls, audit trails, escalation paths — then turn on autonomy.

Audit trails from day one — Every action an AI Coworker takes is logged and reviewable.

Human escalation paths built in — No AI Coworker acts without a defined fallback to a human principal.

Governance dashboards in Neo — Real-time visibility into what every AI Coworker is doing.

0%
of Neo deployments include a governance layer before go-live
PRINCIPLE 03 · PRODUCTION

Production matters more than prototypes.

The enterprise AI graveyard is full of impressive demos. We measure success in production deployments, not proof-of-concepts. Every engagement ends with something running — not a report recommending next steps.

Live in weeks, not quarters — Our Frontier Deployment Engineers work to production timelines, not research timelines.

Built in your environment — We deploy into your stack, not a sandbox.

Measured by outcomes — Reduction in manual hours, increase in throughput, cost saved. Not model accuracy.

0%
of OBZ engagements reach production. Industry average is under 30%.
PRINCIPLE 04 · ACCOUNTABILITY

Human accountability cannot disappear.

AI Coworkers handle tasks. Humans own outcomes. Every deployment we build includes a defined Human Principal — the person responsible for what the AI does. This isn't a legal disclaimer. It's how we architect the system.

Human Principal assigned to every coworker — Defined at deployment, not after something goes wrong.

Escalation by design — Edge cases surface to humans automatically, not after they've caused damage.

Clear audit trail — Every AI action traceable to a decision and a person.

0%
of Neo deployments have a named Human Principal in the role card
PRINCIPLE 05 · OWNERSHIP

Enterprises will own their own AI workforce.

Vendor lock-in is the wrong model for AI. The enterprises that win the next decade will own their AI Coworkers — trained on their data, governed by their policies, running on their infrastructure. We build it that way from the start.

Your data, your models — We don't take your data to train shared models.

No lock-in architecture — Everything we build runs on standard AWS infrastructure you control.

Capability transfer included — Every engagement includes training your team to maintain and extend what we built.

0%
of client data and AI Coworkers remain fully client-owned
PRINCIPLE 06 · PERFORMANCE

AI-native firms will outperform labour-scaled firms.

This is not a distant prediction. It is already happening in BFSI, Telco, and Retail across APJ. The organisations that deploy AI Coworkers at scale in the next 24 months will have a structural cost and speed advantage that labour-scaled competitors cannot close.

Lower cost to serve — AI Coworkers handle high-volume tasks at a fraction of the cost of equivalent headcount.

Faster execution — Decisions, reports, and workflows that took days complete in minutes.

Scale without headcount — Expand into new markets without linear hiring.

0%
reduction in agent-assisted responses by AIRYN at PLDT Smart

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