The Stack Services Approach Who We Serve Start a Conversation

AI Business Enhancement

Your teams,
accelerated
by AI.

Buying AI tools is the easy part. The harder problem is that your data lives in six places and your team is copying and pasting it into ChatGPT windows to get answers. We build the layer that connects your systems directly, then coach your team to run it.

Start a conversation
9x
Avg. workflow velocity gain
27days
To measurable transformation
0%
Dependency on us after exit
AI Strategy Workflow Automation Team Coaching Vibe Coding Custom AI Tooling Agentic Systems Spreadsheets to Operating System AI Operating Systems Adoption Playbooks Prompt Engineering Process Mapping Change Management AI Strategy Workflow Automation Team Coaching Vibe Coding Custom AI Tooling Agentic Systems Spreadsheets to Operating System AI Operating Systems Adoption Playbooks Prompt Engineering Process Mapping Change Management

01 -- The AI Enablement Stack

One chat window.
Every enterprise system.

Your team queries databases, kicks off workflows, and builds agents that take real action across existing systems. The interface is familiar. The architecture behind it is not.

Velo9 Agent
YouPrep me for the Meridian call at 2.
AgentPulled three sources. Salesforce: $420K pipeline, champion is Lisa Chen (VP Ops), last touch 3/14. NetSuite: Q1 invoices show 22% margin compression vs. forecast. Web: they announced a Phoenix warehouse expansion last Tuesday. Briefing attached.
YouFlag the margin issue for our CFO and create a follow-up task for Lisa.
AgentDone. Alert sent to CFO with the NetSuite data. Task created in Salesforce. Briefing saved to the Meridian folder.
Ask your systems anything...
04 Agents Workflows that call the right model, take action across FP&A, operations, and reporting, and return results to the people who asked.
03 Context Protocol MCP makes your full data ecosystem addressable from one interface. One protocol, every provider, no custom glue.
02 Intelligence Layer Unified, indexed, searchable. APIs and vector stores bring every data source into one queryable ecosystem on your infrastructure.
01 Data Sources ERPs, file shares, Teams, hosted apps, on-prem databases. We meet your data wherever it lives today.

Principle

AI Neutrality

Best model for each task. OpenAI, Anthropic, open-source. When the market shifts, your stack shifts with it.

Principle

Data Sovereignty

Your data stays on your infrastructure. Embeddings, indexes, and vector stores are yours to own and operate.

Principle

MACH Architecture

Microservices, API-first, cloud-native, headless. Every component composable and replaceable. No migration tax.

Principle

NIST-Aligned Security

Least-privilege access on every integration. Audit trails on all agent actions. Your security team signs off first.

02 -- What We Do

Three ways
we work

01
AI Coaching
and Adoption

We work with your teams at every level, building the practical judgment that makes AI stick. Sessions are hands-on and built around real workflows. The goal is capability that stays after we leave.

02
Workflow
and System Design

Before recommending anything, we map how work actually moves through your organization. Friction, bottlenecks, what is ripe for automation. The redesign follows the diagnosis.

03
Building and
Vibe Coding

When the right capability doesn't exist, we build it. RAG layers, agentic pipelines, MCP integrations, production systems on your infrastructure. Your team is in the room while it gets built, so they know how it works and can run it when we're gone.

03 -- Our Philosophy

"I finally moved beyond the chat window."

The knowledge transfers as the work happens. Your team builds real capability over the course of the engagement, so the exit is clean and they can run it themselves.

That means working inside your process and explaining the why alongside the how. Six months after we leave, your team should be able to build things without us.

We call this AI Business Enhancement: a real shift in how your organization operates, built from the inside out, with your people, on your actual problems.

03b -- Who You're Working With

Built by
an operator

Velo9 is led by John Buccola (JB), who has served as CIO three times across portfolio companies backed by KKR, EQT, and Cerberus. He founded an IoT startup backed by Wyndham and co-founded an IT optimization practice that sold to private equity. MIT has recognized his work in machine learning. Microsoft awarded him for advanced analytics.

JB is an active full stack developer who still ships code. He leads every engagement directly and brings in specialized builders as the work requires. No account managers, no handoffs to junior staff.

When JB diagnoses a problem, it is because he has had that problem himself. That is the difference between a consulting firm that advises and one that builds.

04 -- Our Process

A process built
around your reality

Step 01

Diagnostic

We spend real time in your world, observing workflows, interviewing your team, mapping where the friction lives and where AI creates the most value.

Step 02

Strategy and Roadmap

A prioritized plan built for your constraints. High-ROI moves in a clear sequence, with owners and timelines attached. No moonshots.

Step 03

Co-Build and Coach

We build alongside your team, working on automations, workflow redesigns, and the coaching that makes them stick. Knowledge transfers in real time.

Step 04

Sustain and Evolve

We document everything and run handoff sessions. Many clients stay on retainer from there. AI is moving fast, and the work of staying current is ongoing. What we learn across multiple client engagements comes back to each of them.

05 -- Who We Work With

The right fit
matters to us

We work best with organizations that have identified the problem and are ready to act on it.

Mid-Market Teams
50 to 500 person organizations with established processes and the ambition to move faster than their current tools allow.
Functional Leaders
Ops, marketing, sales, and product leaders who have a real problem to solve and need a partner who will build alongside them.
Operationally Complex Businesses
Data scattered across ERPs, portals, and spreadsheets. Six people reconciling what one system should produce. We build the layer that makes your existing systems coherent and queryable, without a forklift.
Founders and Executives
Leaders who want to understand AI well enough to drive it themselves, with informed judgment about where it belongs in their organization.

Ready to move
with velocity.

Most engagements start with a 30-minute conversation. No deck, no pitch. Just an honest look at where you are and where AI can take you.

Schedule a conversation