All-in-one development or AI integration for what you already run
We offer two separate services: all-in-one ERP/CRM or operational system development with AI built in from the start, and MCP assistant/agent integration for an existing app, system, or workflow to boost productivity without a rebuild.
Explore your use caseThink of an MCP server as a universal adapter. It lets the AI plug into your CRM, ERP, database, or documents — using one common language. The AI doesn't need to know how each system works internally; it just asks the MCP server.
It's the natural-language front door to your ERP/CRM or existing app. Depending on scope, it can stay read-only for answers and reports, or operate as an approved agent workflow that drafts, routes, checks, notifies, or updates inside defined guardrails.
MCP is not only for new systems. We treat all-in-one system development and MCP integration for an existing app or workflow as separate services, so the solution matches what you actually need.
We design and build the ERP/CRM or operational system itself, then include the MCP assistant/agent layer from the start. Best when you need a new custom system.
We connect MCP assistants and agents to the app, data, approvals, notifications, and workflows you already use. Your current system gains AI capabilities without a rebuild.
Connect to Salesforce, SAP, Dynamics, kintone, internal databases, documents, and custom apps without forcing a platform migration.
Turn lookups, reporting, ticket triage, approval checks, notifications, and handoffs into guided AI workflows with human oversight where it matters.
Reduce context switching, searching through dashboards, and copy-paste work so people can spend more time on analysis, decisions, and customer work.
Build around existing permissions, audit logs, approval rules, and deployment constraints, including on-prem and private cloud environments.
Your question goes to the AI. The AI asks the MCP server. The MCP server fetches real data from your systems. You get a precise answer.
Sales reports, inventory snapshots, pipeline summaries — generated instantly, in plain language.
"Who are our top 10 customers this quarter?" — the real, live answer from your CRM.
Pull data from ERP + CRM + your database at once, cross-referenced into a single response.
We customize both layers — the underlying ERP/CRM AND the AI assistant — to your operations.
No dashboards, no reports to dig through. Plain language in, real data out.
On-prem or private cloud — your data never leaves your control.
What did our top 5 accounts spend in Q3? Break it down by region and product line.
Show me every quote still pending after 14 days — with owner, value, and last activity date.
Pull inventory for SKU 4421 across all warehouses and flag anything below safety stock.
Summarize last month's support tickets, group by product, rank by impact.
Sales questions, stock checks, approval preparation. Start with a recurring task where a connected assistant could make work easier to review and complete.
CHOOSE YOUR SCENARIO
Account history, pending quotes, next actions. Explore a workflow that turns authorized CRM information into answers and drafts an account owner can review.
Check source accuracy, visibility by role, and whether drafts are useful to the account owner.
Use one workflow and a bounded dataset to establish integration feasibility and day-to-day usefulness.
Identify inputs, data owners, permissions, and the expected output. Choose between a new system and an extension to an existing one.
Use approved data and an agreed environment to check answers, permissions, and failure handling. Scope write actions explicitly.
Review accuracy, task time, usage costs, monitoring, and maintenance ownership before agreeing to expand.
A practical starting point for your operations, technology, and data teams.
We offer both MCP integration for existing applications and all-in-one development. The fit depends on available interfaces, permissions, and operational constraints.
Read access and write actions are scoped separately. We define permitted operations and approvers, then validate permissions, audit needs, and recovery for the specific implementation.
Deployment is designed around your systems and selected models, including on-premises or private-cloud options. We clarify data flows, external processing, and retention during design.
Bring one repetitive task and the systems behind it. Let's identify a feasible first integration.
