Move forward with Enterprise AI.
We implement Microsoft Dynamics 365 and ship production-grade AI on top of it: agentic workflows, copilots, voice and vision systems, and document automation. Governed, human-in-the-loop, and audit-ready, inside the systems that already run your business.
IN PRODUCTION TODAY
Live systems, not lab demos
Shipped, running deployments. This is what we mean when we say production.
Multi-agent spend categorization
Five specialized agents normalize vendors, map taxonomy, route ambiguous records, and QA-review classifications. Annual analyst-hour cost fell from about $5M to about $400K for an anonymized procurement-analytics organization.
Verified: about 92% lower analyst-hour cost
Recurring: about $4.6M saved per year, not a one-time bump
Vendor normalization
Cleans and deduplicates vendor records before classification.
Confidence-scored routing
Low-confidence records go to a human review queue, never straight to the output.
Audit-ready QA
Every classification is logged with its evidence.
Human-in-the-loop review
Analysts adjudicate the hard minority instead of classifying everything, with every queued record carrying the agents' evidence and reasoning.
Multi-agent spend categorization
Five specialized agents normalize vendors, map taxonomy, route ambiguous records, and QA-review classifications. Annual analyst-hour cost fell from about $5M to about $400K for an anonymized procurement-analytics organization.
Verified: about 92% lower analyst-hour cost
Recurring: about $4.6M saved per year, not a one-time bump
Vendor normalization
Cleans and deduplicates vendor records before classification.
Confidence-scored routing
Low-confidence records go to a human review queue, never straight to the output.
Audit-ready QA
Every classification is logged with its evidence.
Human-in-the-loop review
Analysts adjudicate the hard minority instead of classifying everything, with every queued record carrying the agents' evidence and reasoning.
MES + ERP intelligence layer
Connects shop-floor execution to ERP, quality, and inventory in one live operations layer. AI shift summaries, exception workflows, and plant-to-ERP visibility.
In production
One operational truth: plant and ERP reconciled continuously, not just at period close
Production event sync
Production events, quality signals, and inventory movements sync between MES and ERP in real time.
Shift summaries & quality alerts
Shift summaries and quality alerts compile automatically for supervisors and planners.
Supervisor escalation workflows
Reconciliation gaps and quality events route to the responsible supervisor with a clear escalation path.
A repeatable pattern
Deployed and operating for one plant today, the same integration pattern extends to additional plants and sites.
MES + ERP intelligence layer
Connects shop-floor execution to ERP, quality, and inventory in one live operations layer. AI shift summaries, exception workflows, and plant-to-ERP visibility.
In production
One operational truth: plant and ERP reconciled continuously, not just at period close
Production event sync
Production events, quality signals, and inventory movements sync between MES and ERP in real time.
Shift summaries & quality alerts
Shift summaries and quality alerts compile automatically for supervisors and planners.
Supervisor escalation workflows
Reconciliation gaps and quality events route to the responsible supervisor with a clear escalation path.
A repeatable pattern
Deployed and operating for one plant today, the same integration pattern extends to additional plants and sites.
Supply chain control tower
Ranks supply, demand, supplier, and shipment risks into prioritized, explained actions, so planners work the exceptions that matter.
In production
Ranked queue: the important risks no longer hide behind the loud ones
Exception ranking with reasons
Each exception is scored by impact and urgency, with its cause explained in plain language.
Recommended next actions
Every accepted risk becomes a workflow, not just a flagged alert.
Owner routing & follow-up
Each workflow gets an owner and follow-up tracking through to resolution.
Unified signal view
Supply, demand, supplier, and shipment risk pull into one control-tower view instead of five separate queues.
Supply chain control tower
Ranks supply, demand, supplier, and shipment risks into prioritized, explained actions, so planners work the exceptions that matter.
In production
Ranked queue: the important risks no longer hide behind the loud ones
Exception ranking with reasons
Each exception is scored by impact and urgency, with its cause explained in plain language.
Recommended next actions
Every accepted risk becomes a workflow, not just a flagged alert.
Owner routing & follow-up
Each workflow gets an owner and follow-up tracking through to resolution.
Unified signal view
Supply, demand, supplier, and shipment risk pull into one control-tower view instead of five separate queues.
Custom voice AI agents
Voice agents deployed for intake, support, summaries, and workflow execution. Every call becomes a structured, routable case.
In production
Consistent intake: every call captured the same way, every hour
Guided intake with follow-up questions
Voice agents capture the request and ask structured follow-up questions on the call.
Knowledge retrieval mid-call
Relevant knowledge is retrieved and surfaced to the agent during the call itself.
Structured case creation & handoff
Every call ends as a structured case: summary, entities, category, and suggested routing.
Safe escalation with context
Complex or sensitive calls hand off to humans with the full transcript summary attached, so nobody starts over.
Custom voice AI agents
Voice agents deployed for intake, support, summaries, and workflow execution. Every call becomes a structured, routable case.
In production
Consistent intake: every call captured the same way, every hour
Guided intake with follow-up questions
Voice agents capture the request and ask structured follow-up questions on the call.
Knowledge retrieval mid-call
Relevant knowledge is retrieved and surfaced to the agent during the call itself.
Structured case creation & handoff
Every call ends as a structured case: summary, entities, category, and suggested routing.
Safe escalation with context
Complex or sensitive calls hand off to humans with the full transcript summary attached, so nobody starts over.
Flagship AI Suites
Flagship AI suites for enterprise-scale transformation
Multi-workstream deployments that bundle data, integration, security guardrails, model lifecycle, monitoring, and enablement so AI runs reliably across teams, sites, and systems.
AI agents that triage exceptions, pull context from ERP/SaaS, route approvals, and move work forward with audit-ready tracking.
Real-time voice agents for support, intake, collections, hiring, and verification-style flows - safe handoffs, structured outputs, and monitoring.
Forecasting and risk prediction for demand, inventory, production, reliability, and delivery performance - built for real operational decisions.
Extract and validate invoices, packing slips, and forms; route exceptions; and post clean, workflow-ready data into ERP systems.
Vision models for inspection, safety/compliance, and infrastructure monitoring - detect, classify, and route issues into structured cases.
Risk scoring and anomaly detection with ranked investigation queues across transactions, refunds, claims, and abnormal operational patterns.
WHAT WE DO
One team. Enterprise AI + ERP, solved.
Avannte was founded by three Dynamics 365 Finance & Operations specialists. That matters: the people designing your AI layer are the same people who have implemented the ERP underneath it. We scope tight, build fast, and ship systems that run inside the tools you already use.
WHERE WE APPLY AI
AI that works where your industry works
Every use case runs on Dynamics 365, Azure, and Microsoft 365, and every one is backed by a live deployment or a pilot-ready build.
Finance operations & AP automation
Detect mismatches, gather context, route approvals, and track resolution with a full audit trail. Clean data posts into Dynamics 365 Finance.
Industries
Finance
Operations
Shared Services
Fewer touches per invoice
AP stops re-keying documents and researching mismatches by hand. AI handles extraction and matching support, and explains every exception it can't clear.
Cleaner controls and traceability
AP shifts from inbox-driven follow-ups to a ranked exception queue with consistent ownership and an evidence log behind every posting.
Supply chain & procurement intelligence
Spend categorization, PO exception copilots, and a risk control tower that turns planner overload into a ranked action queue.
Industries
Supply Chain,
Procurement
Manufacturing
Ranked risks, explained causes
Planners drown in alerts. Agents rank supplier, inventory, and order risks, explain root causes, and route the fix to the right owner.
Verified proof at the core
The multi-agent spend system cut analyst-hour cost about 92% (anonymized, confirmed). The control tower runs in production today.
Manufacturing & plant visibility
MES + ERP intelligence, quality and CAPA agents, traceability, and vision AI inspection. One connected view from shop floor to ledger.
Industries
Manufacturing
Quality
Food & Beverage
One operations layer
Production events, quality signals, inventory movement, and ERP status connected, summarized, and routed. In production today.
Recall-ready traceability
Batch, lot, and pack-code genealogy linked to ERP and quality evidence. Investigations become a lookup instead of a week of meetings.
Voice-first operations & service
A real-time voice agent resolves common requests, creates cases, and escalates to humans with full context.
Industries
Operations
Customer Support
Healthcare
Executive & operations briefings
Briefing agents compile KPIs, risks, explanations, and recommended actions from ERP, CRM, and M365 into leadership-ready summaries.
Industries
Finance
Operations
Leadership
How We Work
A straightforward path from idea to production
Every engagement follows the same path so AI lands in production, not in slide decks.
1
Executive
briefing
1-2 hours
Align on outcomes, constraints, and success metrics. Select 1-2 workflows worth shipping.
2
Discovery
audit
1-2 weeks
Map process, data sources, integrations, and guardrails. Confirm what production-ready means.
3
Pilot
build
2-4 weeks
Ship a production-shaped pilot with evaluation, monitoring, and approval paths.
4
Production
and scale
4-8 weeks
Harden reliability and security, enable users, and expand across workflows, teams, and sites.
5
Optimize
and evolve
Ongoing
Monitor and tune in production, adopt new capabilities, and control cost as usage grows. Keep accuracy and governance current as the models change underneath you.
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