Services
Seven services you can take one at a time to fix a single painful process, or combine into one connected system. Every project starts from your workflow, not the tool.
AI AGENTS
Your team keeps answering the same questions, and the answers are buried in documents nobody has time to search.
Support agents, internal knowledge assistants, lead qualification, and document Q&A.
Faster response times and fewer repetitive questions reaching your team.
WORKFLOW
Handoffs, approvals, and follow-ups live in inboxes and spreadsheets.
Routing, CRM updates, scheduling, reporting, and notification flows.
Hours recovered every week and fewer dropped handoffs.
WEB EXPERIENCE
A generic template site doesn't build trust or show what you can really do.
Immersive, animated sites and web apps in Next.js: motion, 3D, and interaction that stay fast.
A site that feels like a product and proves capability the moment it loads.
INTEGRATIONS
People become the integration layer between CRM, ERP, and databases.
Reliable connectors with retries, idempotency, and observability.
A single connected flow instead of copy-paste between tools.
CUSTOM
Off-the-shelf tools don't quite match how your process actually runs.
Python services, FastAPI backends, dashboards, and AI-enabled internal tools.
Software shaped to your process, not the other way around.
DOCUMENTS
Invoices, orders, and forms are processed one at a time.
Ingestion, extraction, validation, classification, and analytics-ready datasets.
Documents processed at scale with fewer manual errors.
CLOUD
Your analytics sit on fragile, manual data foundations.
Azure-oriented lakehouses, Bronze/Silver/Gold pipelines, secure intake, BI automation.
A scalable, secure base for analytics and AI.
What to expect
Repetitive, slow, or disconnected work across people, data, and systems. MCC turns that work into reliable automation.
Operators, operations leads, and technical stakeholders who need production systems, not a slide deck.
AI agents, workflow automation, integrations, custom software, document pipelines, and cloud data platforms.
Map the process, design the stack, build against real data, then deploy with monitoring.
CRMs, ERPs, databases, APIs, email, BI, Azure, and the tools you already run. The stack is chosen per problem.
Clear scope, honest demos where useful, and systems that hold up in production.
Case studies in data platforms, lakehouse intake, KPI automation, and logistics, plus interactive demos.
Describe the process that costs the most time. That is enough to begin.
Platform-agnostic by design
MCC is not tied to a single vendor. Depending on the project, solutions may use OpenAI, Anthropic Claude, Google Gemini, or Azure AI, alongside Python, FastAPI, n8n, vector databases, RAG, and the CRM, ERP, and cloud tools you already run.
Start a project
Pick the closest match. We'll take it into the project questionnaire.
