AI consulting and training that ends in a working first project
Your team already uses AI tools. We help you decide what is worth automating, wire it into the tools you already have, train your people to use it well, and build the first workflow with you. It speeds up your team, it does not replace them.
What We Do
Four areas of AI consulting work, depending on where you are in the journey.
AI Readiness & Data Audits
Start here
Before you spend money on AI tools, we figure out whether your data and systems can actually support them. Most AI projects fail because of messy data, not bad models.
- Data quality, completeness, and structure assessment
- System and integration map (where AI can plug in)
- Use-case prioritization (effort vs. impact)
- Written readiness report and roadmap
Custom AI Integrations
LLMs in your stack
We wire AI into the systems you already use, your CRM, your website, your internal tools, so it can summarize, classify, search, or chat using your own data.
- Knowledge-base chat and search (RAG)
- Document summarization and extraction
- Classification, routing, and triage
- Embedded chat in CRMs and internal tools
AI-Powered Workflow Automation
Take the busywork off your team
We rebuild the slow, repetitive parts of your work with AI handling the intake, sorting, summarizing, and follow-through, so your team spends time on the parts that need a human.
- Intake forms with AI triage and routing
- Content operations (drafting, tagging, QA)
- Automated reporting and summarization
- Lead and ticket follow-up at scale
AI Strategy & Training
For leadership and teams
We help leadership pick the right tools, set sensible guardrails for how the team uses AI, and train staff to actually get value out of it, without putting the business at risk.
- Tool and vendor evaluation
- AI usage policies and guardrails
- Role-specific team training sessions
- Security, privacy, and data-handling review
How We Think About AI
Augmentation, not replacement
AI works best when it speeds up the people who already understand the work. We design for that.
Data first, model second
The model is rarely the bottleneck. Most projects stall on missing, messy, or siloed data, so we start there.
Verifiable, not vibes
Every AI integration we ship is grounded in your data and your sources, with logging and review built in.
How an Engagement Works
Most clients start with a readiness audit, then move into a focused build or training engagement.
Discovery
We learn your business, your tools, your data, and the outcomes you actually need.
Readiness Audit
We assess data, systems, and use-cases. You get a written roadmap, not a pitch.
Build or Train
We implement the prioritized work: integration, automation, or team training.
Operate
We support what we build with monitoring, iteration, and documentation.
Who This Is For
Operations leaders
Drowning in repetitive tasks, intake volume, or reporting work that AI could shoulder.
Executives evaluating AI
Trying to separate signal from hype before committing budget, headcount, or platform decisions.
Owners whose teams already use AI
Your people use AI tools every day, but none of it is connected to how the business runs. We help you pick the first workflow worth building, and train your team to use it.
Product teams shipping AI features
Need a partner who understands LLM patterns, evals, and the boring parts of getting AI into production.
A team, not a single contractor. Your lead brings in the right people for each part of the job, and AI agents handle the repetitive steps while our team monitors them.
- AI strategy
- Data and integrations
- Your lead
- Human-monitored AI agents
Real work for real organizations.
See the case studiesCommon questions
Where should we start with AI?
With your workflows and your data, not with a model. A readiness review shows where AI would save real time, what data it needs, and which risks to manage, before you spend money building anything.
Do we need to be technical to work with you on AI?
No. We explain options in plain language, show what each one would change day to day, and handle the technical work. You decide what to adopt and how far to go.
How do you keep AI use safe?
AI agents handle defined jobs, and people on our team monitor what they do and are accountable for the result. We also help you decide what should never be automated in your business.
Tell us what you are working on.
A real person replies within 24 to 48 business hours.
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