Invoices, contracts and forms arrive by email or upload. Document intelligence extracts and classifies the fields that matter, and anything it isn't sure of is flagged for review rather than guessed.
AI development and AI agents that do real work inside your business.
We build production AI features - retrieval over your documents, copilots for your team, and agents that take approved actions in your systems - with evaluation, guardrails and cost controls from the first sprint.
Free 30-minute consultation · Reply within one business day
At a glance
- Starting price
- From $4k
- Typical first release
- 2–4 weeks
- Pricing model
- Fixed price per scope
- You own
- Code, data & accounts
- Free 30-minute consultation
- Written scope before any work
- Working demo every week
- 30 days of support after launch
The gap between an impressive AI demo and something your business can rely on is evaluation, guardrails and integration. That gap is where most AI projects stall.
We start every AI project with a measurable task and a test set built from your real data, then build the smallest system that passes it. Our own products use AI in production - including an AI copilot that answers questions over construction project data - so we design for cost, latency and failure, not just capability.
An AI agent that does real work, with a person where it matters.
Follow an incoming invoice as an AI agent reads it, checks it against your own data, and either processes it within the limits you set or asks a person to approve. Scroll through it, or run a case yourself.
The agent compares the extracted data with your records and policies, retrieved from your own knowledge base with citations, to work out what should happen next.
Tasks inside the limits you set, such as matching a normal invoice to its purchase order and posting it, are carried out in your systems automatically and logged.
Unusual amounts, new vendors or anything irreversible go to a person first, with the agent's reasoning and the source documents attached, so approving takes seconds.
A test set built from your real data, regression checks on every change and dashboards for accuracy and cost per task keep the agent reliable long after launch.
AI Agents & Development: what it looks like in practice.
Document intelligence
Extract, classify and validate data from invoices, contracts, applications and forms - with human review for low-confidence cases.
RAG over your knowledge
Search and question-answering across policies, manuals, tickets and project files, with citations back to the source.
Copilots for your team
AI assistants inside your CRM or operations software that draft, summarize and look things up for staff.
AI agents with approvals
Agents that take actions - update records, schedule, draft replies - within limits, with human approval where it matters.
Customer-facing AI
Chatbots and assistants for customers - see AI chatbot development.
Evaluation & monitoring
Test sets, regression checks and dashboards that show accuracy and cost over time.
What it costs, in real numbers.
AI work starts with a pilot that proves the task can be done reliably on your data. Typical ranges:
AI pilot
From $4k
One task, a test set from your data, a working prototype and an honest accuracy and cost report.
2–4 weeks
Production AI feature
$15k–$50k
Integrated into your software with guardrails, monitoring, human review and admin controls.
6–12 weeks
Multi-agent systems
$50k+
Several agents and workflows across departments, with approvals, audit logs and cost governance.
3+ months, phased
AI providers bill per use. We estimate monthly model costs from your real volumes in the pilot, and design caching and model choice to keep them predictable.
From first call to launch, no surprises.
A written scope and a fixed price before any work starts, a working demo every week, and a clean handoff at the end.
- Step 011 week
Pick a measurable task
A specific job with a clear definition of right and wrong, and a business value we can estimate.
- Step 021 week
Build a test set
Real examples from your data with the correct outcome, reviewed by your team.
- Step 031–3 weeks
Pilot
Prototype, measured against the test set, with cost per task reported.
- Step 044–10 weeks
Productionize
Integration, guardrails, human-in-the-loop review, monitoring and admin controls.
- Step 05Ongoing
Monitor & improve
Regression tests on every change and monthly accuracy and cost reviews.
Proven technology, your accounts.
Technology we use
- Models
- OpenAI APIAnthropic Claude APIOpen-weight models
- Data
- PostgreSQL + pgvectorDocument parsing & OCRHybrid search
- Engineering
- PythonTypeScriptQueuesEvaluation harnessObservability
An honest fit check.
A strong fit if…
- You can describe the task and show examples of it done right.
- Mistakes can be caught by a review step or have low cost.
- The volume is high enough that saving minutes per task matters.
Probably not the right move if…
- The goal is "use AI somewhere" without a specific task - we'll help you find one first.
- Every output must be 100% correct with no human review.
Software our team built and runs.
We don't just build for clients - we operate our own SaaS products in production, so we design for the unglamorous parts: billing, support, uptime and change.
Construction ERP · SaaS
Smart Construction
A cloud ERP for contractors and builders - estimating, projects, billing, labour, procurement, site diaries and an AI copilot.
- Estimating & bills of quantities
- Projects & portfolio
- Billing with retention
- Labour & payroll
Billing & collections · SaaS
WhatsApp-first billing platform
Recurring billing and collections with WhatsApp delivery, digital payments, automatic ledgers, attendance and a customer app.
- Automated monthly billing
- Digital payment collection
- Self-updating ledgers
- WhatsApp team inbox + AI
AI Agents & Development: questions buyers ask.
What does AI development cost?
Pilots start around $4k and prove whether the task can be done reliably. Production AI features typically run $15k–$50k, plus model usage fees.
How do you stop AI from making mistakes?
We ground outputs in your data, measure accuracy on a test set before launch, add human review for low-confidence cases, and run regression tests on every change.
Is our data safe with AI providers?
We use provider APIs and settings where business data isn't used for training, minimize what's sent, redact personal data where possible, and document data flows.
What's the difference between an AI agent and a chatbot?
A chatbot talks; an agent also acts - updating records, scheduling, drafting documents - within limits you set and with approvals where needed.
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Based in Fort Lauderdale, working with businesses across the US. See where we work.
