Practice 01 · IT systems
IT systems consulting & implementation
The platforms, integrations, and data foundations your operation runs on — selected with a business case, implemented by senior engineers, and handed over documented.
Enterprise IT and AI, engineered for production.
Bingo Solutions is a technology consulting and implementation firm. We design, build, integrate, and secure the systems your business runs on — and put AI to work inside them, with the accountability your operations demand.
01 What we do
Two practices. One accountable partner.
The consulting depth to choose the right technology, and the engineering bench to build, integrate, and run it — from core IT systems to the AI that makes them intelligent.
Practice 02 · AI — our flagship
AI implementation
Production AI inside the systems you already run — automating the work that costs your team the most, with verification and human accountability designed in.
02 Why it works
Enterprise technology doesn't fail on tools. It fails on integration.
A new platform — or a new model — is the easy part. The hard part is everything around it: wiring it into the systems your business actually runs on, including the ones nobody wants to touch, with the verification, audit trails, and documentation that survive contact with production. That is our entire focus — and it's why the first month of an engagement looks like this.
Day 01
A working conversation
Bring the workflow that costs your team the most. We scope it against your volumes, systems, and constraints.
Week 01
A scoped statement of work
Fixed scope, named owners, and measurable success criteria — agreed before anyone writes code.
Day 30
Live in production
A first working increment inside your environment, proven on your real data — not a slide deck.
Every day after
Verified, then handed over
A named owner signs off on every consequential action, and your team keeps the keys — your platforms stay yours.
03 Industries
Built for regulated, high-stakes operations.
We're at home where the cost of a wrong answer is real — and where audit trails, data protection, and "the AI did it" is not an acceptable answer.
Insurance & benefits
TPAs, payers, and benefits administrators — claims, eligibility, and enrollment workflows built to adjudication-grade accuracy.
Healthcare & life sciences
Provider and clinical-adjacent operations — patient data handled to HIPAA standards, from prior authorization to interoperability.
Financial services
Banking, fintech, and insurance finance — controls-aware automation with a complete audit record behind every decision.
Public sector & regulated enterprise
Government and compliance-heavy back office — built to federal security baselines, with data residency respected.
04 How we deliver
Advise. Build. Integrate. Automate.
One firm, accountable end to end — under scoped statements of work, delivered in shippable phases, with a documented handover your team owns.
01 · Advise
Map the workflow
We map the volumes, handoffs, and systems, then recommend the approach that delivers measurable return — systems, AI, or both.
02 · Build
Ship an increment
A working increment in production inside 30 days — scoped, senior-built, proven against your real data.
03 · Integrate
Wire into your stack
Connected to your platforms and systems of record under your security policies, with access held to the minimum the work requires.
04 · Automate
Hand it over
Volume handled end to end, exceptions routed to your people, and knowledge transferred so your team runs it.
05 Security & governance
Enterprise-grade by architecture.
Security is designed in before the first line of code — architected to SOC 2 and NIST 800-53 controls, HIPAA-aligned, and governed so a named person stands behind every consequential action.
- Your data stays yours
Deployed inside your environment — never used to train outside models. - Every action attributable
A named owner reviews and signs consequential output before it acts. - Verification built in
Recommendations carry their evidence, with a complete audit record. - Enterprise-grade controls
Architected to SOC 2 & NIST 800-53 · HIPAA-aligned · BAA available.
06 Who we are
Founder-led. Directly accountable.
The people who assess your operation are the same people who design, build, and integrate the system — across IT systems and AI alike, with no handoff to a junior bench.
Jonathan Thomas Adams
Founder & Principal Engineer
Ships production AI and enterprise systems in regulated domains — architect of the firm's technology stack, end to end.
Cayden Bauschek
Founder, Operations & Strategy
Operations, strategy, and go-to-market — with a background spanning AI partnerships and large enterprise proposals.
Frequently asked
The questions we're asked first.
01
Who do you work with?
Operations and technology leaders at mid-market and enterprise organizations, in regulated environments — insurance, benefits, healthcare-adjacent back office, financial services, and the public sector — where the cost of a wrong answer is real.
02
Is Bingo only an AI firm?
AI implementation is our flagship practice, and it stands on a full IT systems practice: technology strategy, platform implementation, integration, and data engineering. The same firm that builds your systems makes them intelligent — one partner, accountable for both.
03
Do you replace the systems we run today?
Our default is to build inside the platforms you already run — current systems and legacy alike. Where new tooling genuinely earns its place, we'll make that case with numbers, and the decision stays yours.
04
What does an engagement look like?
Scoped statements of work under a master agreement. Founder-led delivery — no junior bench, no army of consultants. Every phase closes with documentation and knowledge transfer your team owns.
05
How do you handle security and data?
Access is held to the minimum the work requires, under your security policies. Sensitive data stays inside your environment and is handled only under the appropriate agreements. See our full security posture →
06
What if the AI gets it wrong?
Consequential output goes through a named human owner before it acts — architecture, not a feature flag. Recommendations carry their evidence, and every override is logged and feeds back in.
07
How fast do we see something real?
Thirty days to a first working increment in production is the standing target. Deeper integration lands in phases behind it — each shippable on its own.
Put the right technology to work.
In a 30-minute conversation with the founders, we'll identify where technology and AI deliver measurable return in your operation — and map the path to production.