Custom AI Solutions
We build custom AI agents, automated pipelines, and private knowledge tools connected to your business data, engineered into your workflows, not bolted on. No vague AI strategy decks, no generic prompts. Just tools that take real work off your team's plate.
A specific repetitive task off your team's plate, not a vague "AI transformation" pitch.
What's included
- Custom workflow automation: AI systems that handle data extraction, document processing, and routing
- Private knowledge retrieval (RAG): AI trained on your SOPs, internal docs, and customer data
- Data security & privacy: your proprietary data is never used to train public models
- Human-in-the-loop safeguards: approval checkpoints on anything high-stakes
- Direct access for live support, tuning, and ongoing optimization
How to work together
AI Strategy & Discovery
Starting at $2,500/month
For leadership teams identifying high-ROI AI opportunities and evaluating what's actually feasible
- Audit of existing operational workflows
- Architecture blueprints and tool evaluation
- Bi-weekly strategic advisory and roadmap reviews
AI Implementation & Automation
Starting at $5,000/month
For companies ready to build and deploy custom AI agents, internal knowledge assistants, and automated pipelines
- Custom model tuning and API integrations
- Workflow automation connected to your CRM/SaaS tools
- Team training, prompt guidelines, and system monitoring
Custom AI Scope
Starting at $10,000/month
For organizations that need proprietary AI software and end-to-end integration
- Ramp-up: architecture defined and first workflow live within 30 days
- Structure: senior AI engineers and data architects backed by hands-on operational support
- Commitment: month to month, 30-day notice
FAQ
How much does custom AI automation cost for a small business?
AI Strategy & Discovery starts at $2,500/month to scope the right opportunity; full build-and-deploy work under AI Implementation & Automation starts at $5,000/month. Most small businesses start with one well-defined workflow rather than the whole company at once, which keeps the first engagement closer to the low end.
Isn't this the same as just using ChatGPT ourselves?
No. Praxis builds the workflow around your specific business data and process, tests it against real examples, and hands it off working, rather than leaving your team to figure out prompts on their own.
Will our proprietary data be used to train public models like ChatGPT?
No. We build on zero-data-retention APIs and enterprise-grade isolation. Your data isn't used by model providers to train anything public.
What if our records are messy or inconsistent, not clean data?
Normal, and not a blocker. Part of scoping the workflow is figuring out what shape your existing data is actually in and building around that, rather than requiring a cleanup project first.
How do you prevent the AI from making mistakes?
Prompt constraints, validation checks, and human-in-the-loop approval on anything that touches money, sends a message, or changes a record.
What kind of return should we actually expect?
It depends on the task. A well-defined, repetitive process sees a real, meaningful cut in manual hours once the workflow is live. We won't promise a percentage upfront; we'll show you the before-and-after on your actual work during the pilot.
Do we need in-house technical staff to maintain this?
No. We build the interface, manage the prompts, monitor uptime, and handle ongoing maintenance as part of the engagement.
Where Praxis provides this
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