Founder-led. Production-focused.
Enterprise AI Consulting That Ships — Not PowerPoint
For enterprise and mid-market teams who've watched AI pilots
stall before production. Bivoxo designs, builds, and deploys
AI systems — GenAI, Agentic AI, and MLOps — with the founder
on every engagement, from kickoff to launch.
12+
Years of AI delivery experience
1
Accountable founder on your project
100%
Code written for production, not pilots
92%
Production rate across all engagements
$50M+
Client value created from AI deployments
6
Industries served with deep domain expertise
12wks
Average time from kickoff to production
12+
Years of AI delivery experience
12+
Years of AI delivery experience
1
Accountable founder on your project
100%
Code written for production, not pilots
92%
Production rate across all engagements
$50M+
Client value created from AI deployments
6
Industries served with deep domain expertise
12wks
Average time from kickoff to production
12+
Years of AI delivery experience
Founder-reviewed
Every engagement personally scoped and approved before
work begins
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We build with the platforms your enterprise already trusts
Featured & Referenced In
The Batch
MLOps Community
Data Engineering Weekly
The Pragmatic Engineer
What We Do
Every layer of AI implementation, under one roof
AI Strategy & Roadmap
Where every engagement begins. We assess your data, your
systems, and your organization's AI readiness
Includes:
AI maturity assessment
Use-case prioritization
Build vs. buy analysis
90-day implementation roadmap
Agentic AI Systems
Autonomous multi-agent systems for complex, multi-step
workflows. Built with budget controls, audit logs,
escalation paths, and human-in-the-loop gates from day
one.
Includes:
Agent architecture design
Workflow automation
Governance & controls
Monitoring & observability
Data & ML Infrastructure
AI systems are only as good as the data and
infrastructure underneath them.
Includes:
Data platform modernization
Feature engineering
MLOps pipelines
AI Integration
The hardest part of enterprise AI is not building the
model. It is connecting it to the ERP, CRM, and legacy
systems.
Includes:
API design & development
Legacy system integration
ERP & CRM connectivity
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How We Work
From assessment to production in a structured sequence
Most AI projects fail because they skip steps. Bivoxo
doesn't. Every engagement follows the same five-phase
sequence — no phase is optional, none is rushed.
01 — Week 1-2
Diagnose
We audit your data, map your existing systems, and
interview your stakeholders to understand what AI can
realistically do in your environment. This phase ends with
a prioritized use-case list and a clear go/no-go on
feasibility. Nothing gets built until we agree on what
success looks like.
02 — Week 2-4
Design
Architecture decisions, model selection, integration
mapping, and compliance review — all documented and
approved before a single line of production code is
written. You see the full technical blueprint and sign off
on it. No surprises at build time.
03 — Week 4-10
Build
Iterative development with working software demonstrated
every week - not a demo six weeks in. Test coverage from
day one. Evaluation benchmarks established in Diagnose run
automatically on every build so quality is measured
continuously, not checked at the end.
04 — Week 10-12
Deploy
Staged rollout to a controlled user group before full
deployment. Monitoring infrastructure, alert systems, and
incident response runbooks go live with the system. We
stay online through the first 30 days. We don't hand off
and disappear.
05 — Ongoing
Optimize
Model drift monitoring, performance tuning, and quarterly
business impact reviews measured against the success
criteria we defined in week one. Clients who choose to
retain Bivoxo after the initial engagement usually do it
after initial deployment to continue expanding their AI
capabilities.
Bivoxo didn't just build the system. They made
sure our team could operate and improve it without them.
That's the difference between a vendor and a real
partner.
Sarah Kimura
CTO, Meridian Capital
We had a 6-month internal AI initiative that went nowhere.
Bivoxo scoped it in two weeks and had us in production
by week twelve. The methodology is genuinely different.
James Mercer
VP Operations, Arca Logistics
Most firms sell you a strategy and disappear. Bivoxo
owns the outcome. Every milestone was tied to a measurable
result. That's what gave our board confidence.
Rachel Patel
CFO, Vantus Health
Senior-led delivery
The team that pitches is the team that builds
Fixed-fee milestones
No surprise invoices, ever
92% production rate
Industry average is under 20%
Knowledge transfer included
Your team runs it after we leave
CLIENT PROFILE
We work with: Regional banks and credit unions ·
Healthcare networks · Insurance carriers ·
Mid-market logistics operators ·
Enterprise software companies scaling AI capabilities
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FAQ
Common questions, candidly answered
Direct answers to what clients typically ask before a
discovery call - drawn from our first conversations
What does an AI consulting firm actually do?
We help organizations identify where AI will
create measurable value, design the systems to
capture it, build them, and deploy them into
production. The full stack - from strategy
through running systems. Most engagements start
with a structured assessment and end with a
system your team can operate independently.
How is Bivoxo different from a Big 4 or large
systems integrator?
Three things. First, the senior team that
pitches your project is the team that builds it
- no bait and switch. Second, we only take on
projects we are confident we can deliver, which
means we turn down work others would take.
Third, we measure ourselves on production rate
and business impact, not on the size of our
decks.
What size of organization do you typically work
with?
Enterprise and mid-market firms with complex
data environments and meaningful AI budgets -
typically $50K to $500K+ per engagement. We work
across financial services, healthcare,
logistics, retail, insurance, and manufacturing.
If you are a startup, we are probably not the
right fit.
Do you only work with local clients?
Not at all — Bivoxo works remotely with clients
across time zones. Most of the process runs over
video calls and async communication, so location
has never been a limiting factor.
What does a Discovery Sprint actually deliver?
At the end of two weeks you receive: a written AI readiness assessment against your
current data and systems, a ranked list of 3-5 AI use cases with ROI estimates and
feasibility scores, a build-vs-buy recommendation for each, and a 90-day implementation
roadmap for the highest-value option. Everything is scoped before contracts are signed.
Are your fees fixed-price or time-and-materials?
Fixed-fee milestones for every phase. You know the total cost before we start and there
are no surprise invoices. If scope changes materially mid-engagement, we renegotiate
before proceeding — we never simply bill more hours.
What if the business case changes mid-engagement?
Every engagement has defined exit points at each phase. If we reach a milestone and the
business case no longer holds, we will tell you to stop — even if that means a smaller
contract for us. Our reputation depends on your outcome, not our revenue.
Do you work with startups or only enterprise?
We work primarily with enterprise and mid-market companies with real production
environments and established data infrastructure. Our minimum engagement is a Discovery
Sprint at $15K. Early-stage startups typically do not have the data maturity or
organisational readiness for our engagements to deliver meaningful ROI.
How do you handle client data and
confidentiality?
All client information is covered by mutual NDA
from the first substantive conversation. I never
use client data to train models or share it with
third parties, and a Data Processing Agreement
is available for any engagement involving
personal data.
Will you sign an NDA before we discuss our
project?
Yes, immediately and without hesitation. Send us
a message and we will turn around a signed NDA
rapidly.
Who will actually work on our project?
Our senior team. Every engagement is led start
to finish by the founder — there's no handoff to
a team after the contract is signed.
What happens after the engagement ends?
Every engagement includes knowledge transfer
sessions so your internal team can operate and
improve the system without us. We consider it a
failure if you need us to maintain something we
built three years ago. Clients who choose to
retain Bivoxo after the initial engagement
usually do it for ongoing optimization or new
use-case development - but that should be a
choice, not a dependency.
Getting Started
Ready to put Bivoxo's AI to work for you?
Book a free 30-minute discovery call. We'll pinpoint your
highest-value AI opportunity and tell you exactly what it
takes to build it.
