The AI co-worker built into your back office.
MIA reads your data, reasons with persistent memory, drafts the next action, and shows her work — right inside MDC Backend, MDC Finance, MDC SupplyChain, Pagalee, NetMenu, and the products your team already runs on.
Reads. Reasons. Acts. Shows.
Reads everything
Invoices, contracts, ledgers, POs, tickets — connected through governed integrations. No copy-paste.
Reasons with memory
She remembers your vendors, accounts, and the edge case you explained last Tuesday.
Acts
Drafts and executes within your rules.
Shows her work
Every action lands in the audit trail with inputs, reasoning, and sources.
faster at Acme
Your back office, briefed every morning.
MIA opens with a briefing, not a blank chat: yesterday's numbers, what moved, and the two or three things that need you. Ask her why, and she answers with the receipts.
- ✓ A morning briefing, not a dashboard to decode
- ✓ Every answer cites the data behind it
- ✓ She drafts; you approve — connection health always visible
Embedded, governed, auditable.
She works inside your product
MIA lives in MDC Finance, MDC SupplyChain, Pagalee, NetMenu, and the rest of MDC Backend Cloud. Same data, same access controls, same identity.
You set the rules
Who she can talk to, what she can act on, what needs approval. MIA can't approve invoices automatically. That's still you.
She shows every step
Every action has a row in the audit trail with inputs, reasoning, sources, and outcome. Replay any of them.
Audit trailBuilt so finance and IT security teams can sleep.
Every action logged
Inputs, reasoning, sources, output. Exportable. Replayable.
Memory you can revoke
See what MIA remembers about your business. Forget any of it.
Your data, your rules
MIA works through governed integrations, under your existing access controls.
Security we take seriously
Encrypted connections and least-privilege access — your data is handled with care.
Granular permissions
MIA inherits the user's role. She can't see what you can't.
No training on your data
Your data is never used to train base models. Ever.
The candid version.
Once a quarter we publish what MIA can't do yet, what we got wrong, and what we're still figuring out. Almost no enterprise AI brand will say this out loud. We will.
- 1MIA isn't a chatbot. She works inside your product, not in a side window.
- 2She doesn't "decide on her own." She drafts; you approve the actions that matter.
- 3She can't open scanned PDFs older than 2019 reliably yet. We're working on it.
- 4She's not a black box. Every output cites sources. Every action is in the audit trail.
- 5She's not magic. The 4.2-day close-time gain at Acme came from boring rigor, not breakthroughs.