AI that shows up in the P&L, not the slide deck
Every company now 'uses AI'. Few can point to the line item it improved. Nexargate's AI consulting is operator-led: we find the workflows where AI genuinely compounds — sales, research, operations — implement them, and measure the delta in hours and dollars.
The AI adoption gap
The tools are available to everyone. The results aren't. Here's what we see inside companies every week.
- closeA dozen AI subscriptions, zero changed workflows — usage theater instead of leverage.
- closeOne-off ChatGPT prompting where a systematized agentic workflow would do the work end-to-end.
- closeBuild-vs-buy decisions made by enthusiasm instead of ROI math — six-month internal builds of things that exist for $99/month.
What you get
AI Adoption Roadmap
Workflow-by-workflow audit of where AI creates measurable leverage in your business — sequenced by ROI, with tool selection and owner per initiative.
Agentic Automation
End-to-end automated workflows: research agents, enrichment pipelines, drafting systems with human checkpoints — built on your stack, documented, maintainable.
LLM Integration
AI wired into the systems you already run — CRM, support, content ops — with evaluation criteria so quality is measured, not vibed.
Build vs. Buy Counsel
Independent recommendation on every initiative: buy the tool, build the workflow, or skip it. We sell no software, so the answer has no agenda.
How it works
- 1
Audit (Week 1)
Map current workflows and costs. Identify the 3–5 where AI leverage is real and measurable — and the ones where it's hype.
- 2
Pilot (Weeks 2–4)
Highest-ROI workflow automated first. Baseline captured, delta measured in hours saved or output gained.
- 3
Roll out (Weeks 4–8)
Working pilots extended across the team: documentation, training, and human-in-the-loop checkpoints where judgment matters.
- 4
Systematize (Weeks 8–12)
Monitoring, cost controls (see AI token optimization), and an internal playbook so the capability survives staff changes.
Frequently asked questions
Which AI tools and models do you work with?add
Model-agnostic: Claude, GPT, Gemini, and open-source where it fits — plus the orchestration layer (Clay, Make, n8n, custom scripts). Recommendations follow the workflow, not a reseller agreement.
Is our data safe in these workflows?add
Data handling is designed per engagement: API-tier services with no-training guarantees, region pinning where required, and PII minimization by default. Security review happens before anything ships.
Do we need a data science team?add
No. Most business AI wins are workflow engineering, not model building. When something genuinely needs custom ML, that's the machine learning practice — and we'll tell you honestly.
What ROI is realistic?add
Typical first-quarter results: 30–60% time reduction on research/drafting workflows, or one FTE-equivalent of output per automated pipeline. We baseline before and measure after — no delta, no rollout.
Related services
Find your highest-ROI AI workflow
Free 30-minute audit call. Bring your messiest process; leave knowing whether AI fixes it, what it costs, and what it saves.