Product · AI & Automation

Infilabs AI Chat Platform

A governed enterprise assistant grounded in your own knowledge.

Deploy a retrieval-grounded assistant across intranet, support desk and customer channels — with citations, guardrails, analytics and full control over which model answers which question.

68%

First-contact resolution

< 2s

Median response latency

40+

Connectors out of the box

Modules

What is inside the platform

Modules are licensed independently. Most clients start with two or three and expand as the first phase proves out.

01

Knowledge ingestion

Connectors for SharePoint, Confluence, Drive, Zendesk, S3 and databases with incremental sync and permission mirroring.

02

Retrieval engine

Hybrid vector and keyword search with reranking, metadata filters and per-user access enforcement at query time.

03

Model gateway

Route by intent, cost and sensitivity across Claude, Azure OpenAI, Gemini and self-hosted open models.

04

Guardrail layer

PII redaction, topic policy, jailbreak detection, refusal behaviour and human-escalation triggers.

05

Agent tools

Scoped actions — raise a ticket, look up an order, book leave — executed through audited API calls.

06

Analytics & evaluation

Answer quality scoring, unanswered-question mining, cost per conversation and satisfaction trends.

Capabilities

Included as standard

  • Multi-channel: web, Teams, Slack, WhatsApp, voice
  • Citation-backed answers with source links
  • Permission-aware retrieval per user
  • Multilingual across 40+ languages
  • Conversation handover to live agents
  • Prompt and persona library management
  • Golden-dataset evaluation harness
  • Full conversation audit trail & export
  • Cost budgeting and rate limits per team
  • Bring-your-own-model support

Implementation

Getting Infilabs AI Chat Platform live

A predictable path. Most single-entity deployments complete in four to eight weeks depending on integration count.

  1. Fit workshop

    One day mapping your process against the platform. Output is a configuration blueprint and an honest gap list.

  2. Sandbox with your data

    A working environment loaded with a slice of your real data so evaluation is concrete rather than hypothetical.

  3. Configuration

    Workflows, roles, forms, templates and integrations configured to the blueprint — with gaps built as extensions where justified.

  4. Data migration

    Profiling, cleansing, dry runs and reconciliation reports signed off before any production load.

  5. Training & go-live

    Role-based training, UAT, cutover runbook and hypercare staffing through the first cycle.

  6. Support & evolve

    SLA-backed support, quarterly reviews, release upgrades and a documented enhancement path.

Product enquiry

See Infilabs AI Chat Platform with your own data

We will load a representative slice of your data into a sandbox so you can evaluate against your real process. No generic demo tenant.

Request a sandbox Email the team

Princeton, NJ · Tiruchirappalli, India · +1 (609) 681-2414