AI systems built to be controlled,not just to work.
Architecture you can inspect, with release decisions that always stay human.
We design and operate AI on top of your CRM, ERP, and WhatsApp, with the same engineering discipline that kept zero-data-loss migrations intact across a decade of enterprise and federal work.
Services
Six ways to start. Each with a defined scope and someone accountable for what ships.
AI Technical Diagnostic
You find out exactly where AI saves your operation money — with a roadmap prioritized by ROI and a real budget for each piece.Sales & Support Agent (WhatsApp + CRM/ERP)
An agent that answers WhatsApp 24/7, actually checks your stock and your CRM, understands voice notes, books meetings, and hands off to a human with full context. Engineering, not a template.Knowledge Copilot (cited RAG)
Your team asks your documents — contracts, manuals, policies — and gets answers with the source cited. Accuracy measured, not promised.Sensitive-data variant: deployment 100% on your infrastructure (legal, healthcare, financial) — your data never leaves your server."AI in your product" Sprint
Your product already exists; in one fixed-price sprint we add semantic search, summaries, or an agent — with tests, evaluation, and no technical debt.Document & Back-office Automation
Invoices, contracts, orders, and email: automatic extraction and loading into your system, with human review where it matters. We measure hours saved, not promises.Enterprise Backend & Migrations
APIs, integrations (Salesforce, Stripe, SSO), and data migrations with verified zero loss — the same standard we delivered for 8 years to US agencies and federal clients.
Add-onsOperation & continuous improvement · AI Engineering workshop for your dev team
Not sure which one fits? Write to us and we tell you frankly what you need — even if the answer is "nothing yet".
Contact usWhat "release decisions in human hands" looks like in practice.
Business goal
Architecture
Bounded implementation
Verification
Human release decision
The studio is new. The engineering isn't.
Eighteen years of backend platforms, regulated migrations, payments, and enterprise integrations. That work is still available today, alongside the AI projects.
Discuss your project →- Federal & nonprofit · Section 508
Multi-site Drupal Portfolio
Drupal platforms for federal agencies and nonprofits: new builds, rebrandings, and zero-data-loss migrations.
- Sites
- 10+
- Migration
- D7→9
- Data Loss
- 0
- Fortune 500 · Salesforce ↔ Drupal
CRM ↔ CMS Data Bridge
Two-way synchronization between Salesforce and a Drupal CMS, built on custom Apex triggers and REST bridges.
- Direction
- 2-Way
- Tech
- Apex + REST
- Sync
- Automated
- Nonprofit · Recurring billing
Payments & Messaging Platform
Stripe subscriptions, Twilio SMS, and SendGrid email wired into a nonprofit's billing and notification pipeline.
- Payments
- Stripe
- Messaging
- SMS + Email
- Billing
- Recurring
StackDrupal 7-11 Development · Drupal Custom Module Development · Drupal 7-11 Migrations · Headless / Decoupled Drupal · React · Gatsby · PHP 8.x · Symfony Framework · Zero Data Loss Migrations · Salesforce Integration · Salesforce Apex · REST API · SAML SSO · OAuth 2.0 · Stripe Integration · Firebase · Twilio · SendGrid · MySQL · PostgreSQL · Docker · GitHub Actions · CircleCI · CI/CD · Redis · Varnish · Apache Solr · Pantheon · Acquia
Lab
Here we test, in public, what we later deliver to clients.
Docket
One policy, approval and audit chokepoint in front of every tool call it dispatches
A runtime for coding-agent teams: every tool call Docket dispatches crosses one policy, approval and audit chokepoint before its handler runs. Docket owns the turn loop, so that gate is architecture rather than convention — risky actions route to a person instead of running unchecked.
Python · Typer · Rich · Pydantic · Pydantic · mcp extra for MCP tool servers
In development; some features are incomplete. Open source, installable today, and built so the control boundary is enforced by the architecture rather than by convention.
Show the architecture
Every action an agent takes passes through one policy layer before it runs — the model is not trusted by default.
- 01
Proposed actionModel call
A coding agent decides it wants to run a command, edit a file, or call an external tool.
- 02
Single policy gateGovernance
The proposed action passes through one dispatcher, with no side path — there is only ever one place a call can be approved or blocked.
- 03
Role-based accessGovernancePrompting
What an agent is allowed to attempt depends on its assigned role, not a prompt instruction — a reviewer role is never handed a write tool in the first place.
- 04
Argument-aware checkPrompting
Risk is judged by the actual arguments of a call, not just its name — a read-only check and a destructive one with the same tool name are treated differently.
- 05
Human escalationGovernance
A call that the policy can’t confidently approve routes to a person instead of failing open.
- 06
Isolated workspaceHarness
Each agent runs in its own workspace and network boundary, so multiple agents working at once can’t interfere with each other.
Disclosure
We show the work—and the limits.
Bring us the hard problem.
Tell us what has to work, who depends on it, and where the risk sits. We reply with a direct engineering assessment — what it would take, how long it would take, and whether we're the right provider for it.