Put AI to work inside your business. AI Consultation & Forward Deployed Engineering for Technology Companies.
We embed inside your business, connect AI to the systems you already run — ERP, CRM, quoting tools, the spreadsheet nobody wants to touch — and stay accountable through rollout, not just the proof of concept.
Let AI become a reliable teammate that gives you back real hours every week.
Somewhere in your business, someone is re-keying an RFQ into three systems, chasing a spec sheet buried in a shared drive, or answering the same technical question for the fifth time this week. Every one of those is recoverable time — a few minutes here, an hour there, multiplied across a team and a year. The tools to recover it already exist. Most companies just haven’t connected them to the way the work actually happens yet.
That connection is the real work, and it’s why the gain often stays just out of reach. Gartner expects 60% of AI projects to be abandoned through 2026 for lack of AI-ready data, and separate research puts the pilot-to-production failure rate at 95% — not because the underlying models fall short, but because nobody did the unglamorous work of wiring AI into the systems, data, and approval steps a real business runs on.
Forward deployed AI engineering: four principles behind every build
The forward deployed engineering model didn’t start in marketing — Palantir built it for the hardest enterprise and government deployments, and it’s now how OpenAI and Anthropic put their own models to work inside real companies. We apply the same discipline to B2B and industrial brands who don’t have a bench of in-house AI engineers to spare.
Embedded Discovery
Before we write anything, we spend real time inside your operation — watching how the work gets done, tracing where the data actually lives, and talking to the people doing the job rather than the people describing it secondhand.
Systems-First Integration
We build inside what you already run. ERP, CRM, quoting software, spec databases, the internal tool nobody outside your team has heard of — not a side app that adds a login nobody wanted.
Governed Autonomy
We decide together, in writing, what the system can do on its own and what needs a person’s sign-off before it happens. Then we test it. AI gets things wrong sometimes, and catching that before production is part of the build, not an afterthought.
Adoption, Not Handoff
We stay through rollout. That means training your team, watching how they actually use it, and fixing what gets in the way — so the thing still runs after we’re gone, instead of joining the pile of tools everyone forgot to open twice.
AI doesn’t just automate what happens after launch. It changes how we build the system itself.
The same discipline applies whether we’re building a website, a storefront, a product configurator, an ROI estimator, a searchable knowledge base, a lead-generation and lead-management system, or the inventory and purchasing tools running behind the scenes. Each one is a system that has to be built, integrated, and kept running — and AI changes the speed and the architecture, not just what happens after it ships.
What we build:
Faster to Build
AI-assisted development scaffolds components, wires up integrations, and drafts first-pass workflows in days instead of weeks. That doesn’t mean skipping review — every AI-generated change goes through the same testing and QA discipline as anything hand-written. It means our engineers spend their time on architecture and judgment calls instead of boilerplate.
Built to Flex
We build headless, API-first, on modern frameworks instead of a legacy, bolted-together stack. Content, commerce, and data sit behind clean APIs, so adding a new integration later — a CRM, a quoting tool, a new data source — doesn’t mean tearing the system apart to make room for it.
Secure by Default
Fewer legacy, bolted-together tools means a smaller attack surface. We build in dependency and vulnerability scanning, access controls, and audit logging from day one, instead of retrofitting them after something goes wrong.
Everything you need to move from pilot to production.
AI Opportunity Audit
A fixed-scope engagement to find out what’s actually worth building.
AI Agents & Workflow Automation
Custom agents and automations built for a specific bottleneck, not a generic use case.
ERP, CRM & Legacy System Integration
The unglamorous plumbing that decides whether an AI project survives contact with your actual tech stack.
Governance, Testing & Human-in-the-Loop Controls
Because “the AI did it” isn’t an acceptable answer when something goes wrong.
AI-Accelerated Digital Systems
Modern, secure systems built faster, without locking you into one platform.
Fractional AI Lead
Ongoing, part-time technical leadership for teams that need direction without a full-time hire.
Five phases: Same discipline we bring to GEO.
Discover
We spend time inside your business — watching the workflow, tracing the data, and talking to the people who own the process day to day.
Diagnose
We map your systems and access rules, flag the risks, and identify the single highest-leverage workflow to fix first.
Design
A fixed-scope build plan: what gets built, what stays off-limits without a person’s approval, and how we’ll measure whether it actually worked.
Deploy
We build, test, and integrate — wired into your existing stack, with logging and approval steps where the stakes call for them.
Defend
We stay through adoption: training, fixes, and — if you want it — ongoing fractional AI leadership as the tools underneath keep changing.
Led by real AI infrastructure experience
Kevin Fincel leads our AI consultation practice. He’s TECH B2B’s AI Operations Lead and a Forward Deployed AI Engineer with more than 18 years building business systems. He built the self-hosted MCP servers and agent tooling our own team uses daily, and founded Geol.ai, the platform that tracks how AI engines cite and recommend brands — the same platform behind our Generative Engine Optimization service. He’s spent years connecting AI to ERP, CRM, and legacy systems for industrial and B2B clients, and he leads every engagement personally.
AI consultation — answered.
Let’s find out what’s worth building
Get your free AI Opportunity Audit. We’ll spend time in your operation, map what’s possible, and tell you honestly whether AI is the right tool for the job.
