CCCM Consulting is an AI application development firm. We design, build, and operate intelligent products — conversational AI, autonomous agents, and AI-run business operations — for companies that want software that does the work, not just shows it.
Production-grade tooling we ship with
What we do
We're an AI application development firm. We embed AI into the core of every product we build, so it reasons, decides, and operates. Three ways we put it to work for our clients.
Assistants, copilots, and intake bots that actually understand your business — grounded in your data, so they answer instead of hallucinate. The chat on this page is one of ours.
AI agents that run multi-step work end to end — reading documents, making decisions, and taking action — with humans approving the edges that matter.
We put AI to work across the business — marketing, commerce, support, and back-office functions — shipped as production-grade, multi-tenant applications.
AI-first automation
We design products where the AI does the work — extracting documents, mapping data, drafting content, and watching production — while humans approve and steer. The result is software that runs lean and improves itself.
PDF / DOCX / XLSX parsing and generation — turning unstructured partner files into structured, validated data.
LLM-assisted mapping, drafting, and decisioning with evals — built on the Vercel AI SDK and OpenAI, gated by automated quality checks.
Scheduled jobs, queue workers, alerting, and self-auditing agents — your operations keep running, and watching themselves, 24/7.
Client work
A cross-section of AI applications we've designed, built, and operate for our clients. SignalEDI is one of many.
SignalEDI is a client product CCCM builds and operates. The other examples are representative of our client work across conversational AI, commerce & automation.
SignalEDI
Client case study · AI-native EDI & onboarding platform
A CCCM client. We designed, built, and operate SignalEDI — an AI-native platform that replaces months of manual trading-partner setup with an AI-guided onboarding funnel. It ingests partner documents, maps them to X12 transaction sets, validates them automatically, and exchanges them over SFTP — on a multi-tenant, compliance-first platform with billing built in. One example of how we build for clients.
Under the hood
Our stack
A documented, opinionated stack — the same one we bring to every client engagement. Production-tested, type-safe, and observable end to end.
How we work
We pin down the workflow, the data, and where AI removes the manual work. Architecture before pixels.
AI-native delivery on Next.js + TypeScript, with automation and quality gates wired in from the first commit.
Compliance, RLS, observability, and disaster-recovery drills — so it's safe to operate, not just to demo.
We keep it running — automated officers, alerting, and continuous evals that improve the system over time.
Pricing
We price from scope, not guesswork. Here's how we engage — and what comparable AI builds actually cost, down to the tools that power them. Want your exact figure? Scout scopes it in minutes.
2–4 weeks
Add one AI capability to what you already run.
6–10 weeks
A launch-ready, AI-native app or storefront.
12+ weeks
A multi-tenant platform built to operate at scale.
ongoing retainer
We keep it running — and improving.
Grounded in real work — what we delivered, the tools we leveraged, and an example cost range for a comparable build.
Illustrative ranges based on delivered scope and blended industry rates of $85–$160/hr. Every engagement is scoped individually — your number comes from the intake, not this table.
Chat with Scout, our AI scoping assistant. Answer a few adaptive questions about your idea and we'll draft a rough level of effort, a functional spec, a build & support cost range, and the tooling we'd use — sent straight to your inbox.