jaxable

Production AI for the
enterprise.

AI assistants & agents · knowledge systems · process automation —
inside your own environment, measured against agreed outcomes.

[email protected] · jaxable.com

01 · The problem

Your company has AI licenses,
pilots, and ambitions.
What it doesn't have is AI in production.

Pilotsrun and demoed
Licensesbought and assigned
Productionstill waiting

02 · Why it happens

Demos are easy.
Dependable systems are not.

Security review

Where most AI initiatives stall — before a line of code runs.

Data quality

Permissions, structure, and freshness decide answer quality.

Evaluation

Without measurement, nobody signs off — and nobody should.

Adoption

A system nobody uses saves nobody time.

Big integrators sell multi-quarter journeys. Tools sell licenses. Nobody owns the gap between them — that gap is our entire business.

03 · Who we are

Senior engineers who run certified,
audited infrastructure — and ship AI to production.

100%senior delivery — the people in this room do the work
20+ yrsof engineering leadership experience
99.99%uptime on the audited infrastructure we operate
$300M+in assets secured by systems our team runs
ISO 27001 AICPA SOC 2

ISO 27001 certified · SOC 2 Type I & II audited — we bring audit-grade discipline to every AI system we deliver.

04 · The team

The people on this slide
are the people who do the work.

Adrian Irimia

Adrian Irimia

CEO · Co-founder

in/adrianirimia
Tiberiu Krisboi

Tiberiu Krisboi

CTO · Co-founder

in/tiberiu-krisboi
Alexandru Roșca

Alexandru Roșca

Practice Lead · Applied AI

in/alexandru-rosca
Andrei Novac

Andrei Novac

Practice Lead · Platform

in/andrei-novac
Călin Tătar

Călin Tătar

Practice Lead · Cloud & DevOps

in/călin-tătar

Founder-led and senior-only — no hand-offs to a delivery bench you've never met. Extended by a vetted specialist network when scale is needed.

05 · What we build

Four service lines. One standard:
a system in production and a metric that moved.

1

AI Assistants & Agents

Role-specific assistants and agents in the tools your teams already use.

2

Enterprise Knowledge Systems

Cited answers from your documents — permissions respected, accuracy measured.

3

Intelligent Process Automation

Back-office workflows automated, with people approving the decisions.

4

AI Governance & Managed Operations

Quality gates, cost control, and 24/7 operation of what we deliver.

Platform-independent — Microsoft, AWS, Google Cloud, or on-premises. Deepest on Microsoft: Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Power Platform.

06 · Security & governance

Built for the questions
your CISO will ask.

Data residency

Processed in your environment and region. Nothing leaves without approval.

Identity & access

Your identity provider — Entra ID, Okta, Google; existing permissions respected.

Auditability

Every action, answer, and approval logged and reviewable.

Responsible AI

Human oversight of consequential decisions, by design.

Enterprise AI fails procurement before it fails technically. We design for security review from day one.

07 · How we work

The ABLE Method.

01

Assess

Weeks 1–2

Use case, data, security review — success metric agreed in writing.

→
02

Build

Weeks 2–4

A working system on your real data, in your environment.

→
03

Launch

Weeks 4–6

Evaluation, governance sign-off, rollout, leadership readout.

→
04

Evolve

Ongoing

Managed operations — or full handover, documented.

Fixed scope. A decision point at every stage. If it isn't viable, we tell you before you spend.

08 · Proof

Outcomes, not activity.

Business development · Moonlet

10×

AI research workspace that screens prospects and drafts the outreach

Two-stage agent research on monitored sources — ~3 hours of manual work per prospect down to minutes, every send human-approved.

Analytics · Product engineering

Daily

ORACLE: analytics agents that find the insight before you ask

Discovery, investigation, and verification agents deliver evidence-backed findings — queries and sources attached, no dashboard backlog.

Infrastructure · Incident response

~70%

AI first responder that fixes the routine, briefs the human on the rest

Agents investigate alerts, apply allowlisted fixes, verify, and close — on the 99.99%-uptime systems we operate.

Client references available under NDA.

09 · Insights

Written by the people
who do the work.

Case notes · Alexandru Roșca

A pipeline that does its own homework: AI agents for opportunity research

Two-stage agent research, monitored sources, and outreach drafts a human approves.

Read the article →

Engineering notes · Tiberiu Krisboi

Beyond the dashboard: designing ORACLE, an analytics platform that asks its own questions

Orchestrated agents, verifiable findings, and a daily insight feed instead of a dashboard backlog.

Read the article →

Case notes · Călin Tătar

Wake a human as a last resort: an AI first responder for infrastructure incidents

Investigate, consult the runbook, fix the routine, verify — page a human only when it matters.

Read the article →

Specific and practical — no hype. All articles at jaxable.com → Insights.

10 · Why Jaxable

The partner in the open quadrant.

Global integrators

Enterprise-native, but multi-quarter journeys delivered by junior-heavy benches.

Big-4 AI practices

Scale and safety — same pyramid economics.

Jaxable

Senior-only, engineering-grade, native to the estate you already run. Fixed scope, 30 days.

AI boutiques

Engineering-grade, but they ignore the enterprise stack you already own.

Independent and founder-led — while the market's AI partners keep getting acquired, we're a firm you can call for years.

11 · Where most clients start

The 30-Day Pilot.

Defined up front

Scope, fixed fee, and success criteria in the SOW before kickoff.

Built on your data

Real documents, real systems, real users — inside your boundary.

No lock-in

Keep it and scale with us, or keep the code and walk away.

Decision-ready readout

Measured outcomes and a costed roadmap for your leadership.

One use case. Thirty days. A working system in your environment — and a number your board can read.

12 · Next step

Let's pick the use case.

1

45-minute scoping session — we map your highest-value use case together.

2

Written proposal in 5 days — scope, fixed fee, success criteria, start date.

3

Pilot kickoff — working system in your environment 30 days later.

Pilot investment: fixed fee, agreed up front · Success metric: agreed with you in writing · [email protected]

just add experienceassess build launch evolve

Enterprise AI, made able.

[email protected] · jaxable.com

ISO 27001 AICPA SOC 2