AI + ERP/CRM

AI for ERP & CRM Systems

Your ERP and CRM already hold the data — deals, orders, inventory, customer history. The problem usually isn't the data, it's that nobody has time to dig through it before a decision needs making. We embed AI directly into the systems your team already uses.

Instead of replacing Dynamics 365, Salesforce, or SAP, we layer AI on top of what's already there — so adoption doesn't require retraining your team on a new platform.

Whether it's scoring leads before a rep touches them or catching a demand shift before it becomes a stockout, we scope the use case to what will actually change a decision your team makes.

What We Build Into Your ERP/CRM

1. Lead and Opportunity Scoring: Historical deal data trains a model that ranks leads by likelihood to close, so reps spend time on the accounts worth chasing instead of working the list top to bottom.

AI for ERP and CRM
AI for ERP and CRM

2. Demand Forecasting: Sales history, seasonality, and current pipeline feed a forecasting model that flags a demand shift early — before it shows up as a stockout or an overstock write-down.

3. Automated Data Entry: Order confirmations, invoices, and intake forms get parsed and written into your ERP/CRM automatically, so reps and ops staff stop retyping the same fields between systems.

4. Natural-Language Reporting: Instead of building another dashboard, we let your team ask a question in plain English — "which accounts churned last quarter" — and get an answer pulled straight from your CRM data.

5. Integration Without a Platform Rebuild: We build against the APIs Dynamics 365, Salesforce, and SAP already expose, so the AI layer sits on top of your existing setup instead of forcing a migration.

Why Choose Akantik for AI in ERP & CRM?

Most "AI in your CRM" pitches are a chatbot bolted onto a dashboard. We look at what decision your team is actually stuck making slowly, and build the model around that.

We Work With What You Already Run: No forced migration off Dynamics, Salesforce, or SAP — we build the AI layer to fit your existing configuration and data model.

Models Trained on Your Data, Not a Generic Benchmark: Scoring and forecasting models are trained on your historical deals and demand patterns, not a generic dataset that doesn't reflect your business.

Adoption-Focused Rollout: We roll features into the interface your team already opens every day, so using the new capability doesn't require a separate login or a new habit.

Sitting on years of ERP or CRM data that nobody has time to dig through? Let's put it to work.

Bring AI to My ERP or CRM
AI for ERP and CRM

AI for ERP & CRM - Frequently Asked Questions

Common questions about embedding AI into ERP and CRM platforms.

Do we need to replace our current ERP or CRM to add AI features?

No. Akantik builds AI capabilities that integrate with the ERP or CRM platform you already run — Dynamics 365, Salesforce, SAP, or others — using their existing APIs, rather than requiring a platform migration.

What is lead scoring and how accurate is it?

Lead scoring uses historical deal outcomes to rank new leads by likelihood to convert.

Accuracy depends on the quality and volume of historical data available, and we validate model performance against your actual close rates before rollout.

Can AI automate data entry from documents like invoices or purchase orders?

Yes, we build extraction pipelines that read invoices, purchase orders, and intake forms, and write the structured data directly into your ERP or CRM, with exception handling for anything the model isn't confident about.

How does natural-language reporting work over our CRM data?

We connect an LLM to your CRM's data through a scoped query layer, so a team member can ask a plain-English question and get an answer pulled from live data, without needing to build a new report or dashboard.

How long does an AI + ERP/CRM integration typically take?

A single focused capability, like lead scoring or automated data entry, typically takes 4-8 weeks depending on data readiness. Broader integrations spanning forecasting and reporting can take longer and are usually phased.

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