AI Integration
AI features your users actually use.
We add practical AI to your product (chat assistants, document search, content generation) without turning it into a science project. Shipped in weeks, cost-controlled, and useful from day one.
AI integration starts with one useful workflow, such as answering questions from approved documents or assisting with repetitive text tasks. We map the input data, permissions, acceptable outputs, and situations that require human review. A small prototype helps test whether the approach adds value before it becomes part of a production application.
The build can include document retrieval, structured outputs, application integration, evaluation examples, and fallback behavior. We review latency, usage costs, and how the system behaves when relevant context is missing. Your team receives configuration and operating guidance. Provider subscriptions, data retention choices, ongoing evaluation, and updates to the knowledge base are agreed in the scope; generated answers still require appropriate verification.
Built around your problems
Every line item below exists because a client once paid the price of not having it.
Solves a real job
Support deflection, faster drafting, instant document search. We pick one job and do it well, not a chatbot that does ten badly.
Knows your business
Grounded on your documents and data, with sources cited. Far fewer confident nonsense answers.
Costs under control
Token budgets, response caching and right-sized models per task. Predictable monthly bills, not roulette.
Private where it matters
Your data handled according to your policy: API providers don't train on it, and sensitive cases get self-hosted options.
Graceful when AI fails
Fallback paths for when the model misfires or the API is down. Your product never breaks because of someone else's servers.
Ship in weeks
A focused MVP live fast, then iterate on real usage. No six-month AI roadmap that's obsolete at launch.
Our stack
Pick a plan
Clear scopes, fixed prices. Every plan can be tailored: the quote you approve is the invoice you pay.
$1,200
Your first AI feature, shipped properly.
- One focused MVP feature
- Prototype on your data, week 1
- Cost guardrails from day one
- Usage analytics at launch
$2,000
Grounded, tested, production-ready.
- Grounded on your documents
- Evaluation tests + fallbacks
- Caching & budget controls
- One iteration round included
$3,500
A suite of AI capabilities.
- Multi-feature / agent workflows
- Self-hosted model option
- Eval suite + safety testing
- 3 months of priority support
$1200
3-4 weeks
Final quote depends on scope: you always get a fixed price before we start, so there are no surprises.
Questions clients ask
Which AI models do you use?
Whatever serves the job best: OpenAI, Anthropic or open-weight models, often mixed. A cheap model for simple tasks, a strong one where it matters. We're vendor-neutral and it's easy to swap later.
Will our data be used to train models?
No. Major API providers don't train on customer API traffic, and we configure zero-retention options where available. For strict requirements we self-host open models.
What will the AI feature cost per month to run?
We estimate it before building and design for a budget; caching and model choice make a huge difference. Most small-business features run $10-100/month at realistic usage.
Can this be added to our existing website or app?
Yes, as an embedded UI, an API your team consumes, or a standalone internal tool. We integrate with what you have rather than replacing it.
LET’S WORK TOGETHER
Ready to get started?
Tell us about your ai integration project; we reply within a day.