The Platform

Three components that work together. Not three vendors you have to integrate yourself.

Conversational AI handles the interaction. Process Automation executes the action. BIL Analytics shows you what happened and what to do next. One feedback loop. One stack. One vendor.

Conversational AI
captures interactions
BIL Analytics
finds patterns
Process Automation
executes actions
AI gets smarter
feedback loop

Component 01

Conversational AI

Voice and chat agents for customer-facing interactions. Native in five languages, deployed across every channel your customers use.

01

Speech-to-speech voice agents

Real-time STS on live calls via SIP trunk. No STT+LLM+TTS pipeline latency. Sub-second response with native prosody in Serbian, Croatian, Bosnian, Slovenian and English.

02

Omnichannel chat deployment

One agent definition, multiple channels: web widget, Viber, WhatsApp, Instagram DM, SMS. Context follows the customer across channels.

03

Structured output with tool calling

Agents don't just talk. They book appointments, query databases, update CRMs. Every action is structured JSON with validation.

04

Speculative model execution

Primary and fallback models run in parallel. If the primary exceeds latency threshold, the fallback completes the turn in under 800ms. The customer never notices.

05

Human handoff with full context

When AI reaches its limits, it transfers to a human with full conversation history, detected intent, sentiment score, and suggested resolution path.

06

Intelligent intent recognition

Understands what the customer wants from the first sentence. Routes to the right workflow, the right department, the right answer.

Technical depth
Built on AWS Bedrock for LLM inference, with custom fine-tuned models for regional language accuracy. Voice pipeline: Twilio/SIP โ†’ real-time speech-to-speech (STS). Latency target: <1.2s turn-to-turn on voice, <400ms on chat.

Component 02

Process Automation

End-to-end workflows triggered by conversations. From scheduling to invoicing to data extraction.

01

Email workflow engine

Parse inbound emails, extract intent and entities, route to the right workflow. Booking confirmations, invoice processing, ticket creation.

02

CRM and calendar integration

Bidirectional sync with Salesforce, HubSpot, Google Calendar, Microsoft 365, and custom systems via REST/GraphQL.

03

Intelligent data extraction

Extract structured data from calls, chats, emails, and documents. Names, dates, amounts, locations, product references.

04

Scheduled actions and follow-ups

Follow-up emails after 24h, escalation if no response in 48h, satisfaction surveys after resolution. Fully configurable.

05

Multi-step approval flows

Complex processes that require manager approval, compliance review, or multi-party sign-off. Each step tracked and auditable.

06

API orchestration across systems

Connect your existing tools without replacing them. Ticketing systems, ERPs, custom databases, legacy APIs.

Real-world example: GIA
GIA (roadside assistance) receives hundreds of emails daily from gas stations reporting issues. StartAI parses each email, extracts location/problem/urgency, matches to existing tickets, creates new tickets when needed, attaches work orders, sends notifications. Manual processing time: eliminated.

Component 03

BIL Analytics

Business Intelligence Layer. Real-time visibility into every interaction. The same dashboard from our case studies, yours, on your data.

01

Agent leaderboard with quality scores

Every agent ranked by resolution rate, FCR, sentiment impact, and customer effort score. Identify top performers and training gaps.

02

Sentiment analysis per conversation

Real-time sentiment tracking. See which topics drive frustration, which agents de-escalate best, where sentiment shifts during a call.

03

First Contact Resolution tracking

The single most important metric. BIL tracks FCR at agent, team, and category level with drill-down to individual failures.

04

Category and topic classification

Every conversation automatically classified by topic, sub-topic, product, and intent. See what customers actually talk about.

05

Custom KPI dashboards

Average handling time, transfer rate, automation coverage, cost per interaction. All real-time, all configurable.

06

Drill-down to individual transcripts

From dashboard metric to individual conversation in two clicks. Read the transcript, see the sentiment curve. No black boxes.

What you see in BIL โ€” sample metrics from a real pilot

48
calls analyzed in one day
65%
volume suitable for automation
45% vs 13%
FCR gap between agents
33%
B2B share discovered
From Alpros pilot
These numbers are from a real 1-day pilot with Alpros Auto (ล koda service network, Belgrade). 48 calls revealed that 65% of volume could be automated, one agent had 3.5x better FCR than another, and 33% of callers were B2B fleet managers. All discovered through BIL, not surveys.

How it fits together

Architecture โ€” what happens under the hood

Serverless-first, event-driven, cloud-native. Each component is a separate microservice with clear boundaries โ€” but they share the same data layer and the same feedback loop.

01
Ingest
Customer contacts via voice, chat, email or API. Each interaction is captured, transcribed (if voice), and enriched with metadata.
02
Understand
LLM processes the interaction: intent detection, entity extraction, sentiment analysis, category classification. All in real-time.
03
Act
Based on understanding: respond to customer (Conversational AI), trigger a workflow (Process Automation), or escalate to a human with full context.
04
Learn
Every interaction feeds BIL. BIL identifies patterns, scores agents, surfaces automation opportunities. Those insights feed back into the AI. The loop closes.

Integrations

Connects to your existing stack

We don't replace your tools. We orchestrate between them. CRM, telephony, calendars, ticketing, databases โ€” all connected through our API orchestration layer.

AWS Bedrock
AWS Lambda
Amazon Connect
Twilio SIP
Salesforce
HubSpot CRM
Google Calendar
Microsoft 365
Viber
WhatsApp Business
Instagram API
Custom REST APIs
PostgreSQL
DynamoDB
OpenSearch
S3
Custom integrations
Don't see your tool? Every enterprise deployment includes custom API integration as part of the implementation scope. We've connected to legacy SOAP services, proprietary ERPs, and internal tools with no public documentation.

Security & Compliance

Enterprise-grade security from day one

GDPR by design
AWS European regions, data residency options, processor agreements aligned to Article 28. Your data stays where you tell it to.
EU AI Act ready
Transparency documentation, risk assessments, and audit trails built into the platform. Ready for August 2026 enforcement.
Per-tenant isolation
Each enterprise client gets isolated compute, storage, and encryption keys. No shared resources between tenants.

See it on your data

The best way to evaluate a platform is to see it work on your data.

Start with a Pilot Report. 4โ€“6 weeks. Your real calls, emails, or tickets. A structured deliverable with concrete numbers and automation opportunities. No long-term commitment until you see the results.

Start Pilot Report