We have Salesforce, let us add Einstein

Einstein only works with your CRM data. Production, finance, stock, HR data? Left outside. 361 unifies all your systems in one AI platform. Also calculate the cost of Einstein licenses on top of Salesforce licenses.

We are in the Microsoft ecosystem

Great — 361 also integrates with the Microsoft world (Teams messaging + Teams meeting channel). But it does not stop there: your existing business system, production software and finance system are included too. Copilot Studio stays within the Microsoft world.

A bigger company is safer

Safety is about architecture, not company size. 361 has 4 guardrail detectors + GuardrailPipeline (PII masking, hallucination, prompt-injection, content), KVKK compliance, local model support and full audit trails. With big vendors your data is in the cloud — with 361 it need never leave: on-prem, even air-gap installation.

We will get support from a global firm

A global firm's support is a call center. At 361 you work directly with the engineering team. You will see it in the 2-week POC — personal, face-to-face support. We have been in Türkiye for 20+ years.

The pilot already works

Nice — but questions of cost, scale and integration with other systems appear on the way from pilot to production. Test them with 361 in a 2-week POC, then compare. We do not disrupt your existing pilot.

361 vs Enterprise AI Platforms — Comparison

When Do Customers Mention This Competitor?

"We will enable Salesforce Einstein, it is already integrated into our CRM."
"We will use Microsoft Copilot Studio, we are in the Office ecosystem."
"Wouldn't buying from a bigger company be safer?"
Management seeks "well-known brand" safety; IT uses the "existing ecosystem" argument.

3 Critical Differences

1. They Stay in Silos — 361 Connects to Every System

Einstein/Copilot Studio: Work only within their own ecosystems. Einstein only sees Salesforce data, Copilot Studio only Microsoft data. Your other systems? Left outside.
361: Connects no matter what your business system is: API Manager (REST/OpenAPI discovery), 8 families / 44 channel adapters, RPA Browser. Entity-Native AI understands all your business objects (including 200+ ready module entities) — not just CRM, but production, finance, HR, stock, logistics...
Proof: We work with 100+ customers across different infrastructures. "Don't Replace, Strengthen" — you keep your existing system.

2. Vendor Lock-in — 361 Has 17 Providers

Einstein: Only Salesforce AI models. If the price rises? No alternative.
Copilot Studio: Only Azure OpenAI. Microsoft pricing, Microsoft rules.
361: 17 AI providers — cloud (OpenAI, Claude, Gemini…) and fully local (embedded local361/llama.cpp, Ollama). If OpenAI gets expensive tomorrow, switch to Claude, Gemini or a local model — one click. Zero vendor lock-in.
Proof: 7 model tiers (budget → premium) — run the same task on the most cost-effective model.

3. Pricing: Per-User Licensing vs Value-Based

Einstein: Per-user monthly licensing. Cost grows linearly with headcount.
Copilot Studio: Per-user monthly licensing plus per-message fees. Costs explode at scale.
361: Value-based pricing. You control spend with the AI Governance Dashboard. Set a budget limit; it is never exceeded. Pay per value, not per user.
Result: You pay for the value you produce, not your headcount — budget control is yours from day one.

Objection Handling

Objection	Response
"Big brand means safer choice"	Safety = architecture. Guardrails, KVKK, on-prem/air-gap, audit trail — check these against any big vendor's offer.
"Migration risk scares us"	There is no migration: 361 runs alongside your existing systems. POC proves value in 2 weeks without touching production.
"We need global support"	You get the engineering team directly — not a call center. Test that in the POC.

See 361 on your own data

Run the POC against your real objections — 2 weeks, free, on your own systems.

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