WHY IT'S DIFFERENT
Where Most Chatbots Stop,
This One Keeps Going
Traditional chatbots return an answer and stop there. Sparkflows Agentic AI Chatbot keeps reasoning across turns, reaches into live systems mid-conversation, and can execute the next step itself.
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Live Data Access
Queries Oracle, MySQL, PostgreSQL, or Snowflake directly mid-conversation instead of relying on a stale cached answer.
"Pull open POs for vendor #3391" → live ERP query, not a script.
Triggers Real Workflows
Flags records, blocks payments, opens tickets, and routes approvals — the same actions a human would take next.
Duplicate found → payment blocked → AP notified, automatically.
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Multi-Step Reasoning
Holds context across a multi-turn conversation: "the invoice we just found" still means something three messages later.
Follow-up "flag it" resolves back to invoice #4521, no restating.
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Multi-Agent Coordination
Hands off sub-tasks to specialist agents — a data agent to fetch records, a workflow agent to act on them.
Knowledge Agent retrieves policy text; Workflow Agent files the case.
Knows When to Escalate
Routes low-confidence matches (0.7–0.9 score) to a human reviewer with full context, instead of guessing.
Score 0.7–0.9 → sent to manual review queue, not auto-flagged.
Deploys Where Work Happens
Same assistant, embedded on the web, in Slack, in Microsoft Teams, or behind a custom API.
One AP assistant, reachable from Teams and the internal portal.
CHATBOT IN ACTION
Recommendations That Come
With a Next Step
Ask about a part that's out of stock, and it doesn't stop at "not available" — it finds the closest alternatives ranked by fit, cost, and risk, then lets you act on one immediately.
UNDER THE HOOD
Every Flag Is the Work of
Four Specialized Agents
That one chat reply — "flagged, payment blocked, AP team notified" —is produced by four agents handing work off to each other in a single workflow, not one model guessing at an answer.
Intake & Extraction Agent
Reads PDF and ERP invoices (SAP, Oracle, NetSuite) and pulls invoice #, vendor, date, and amount via OCR.
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Duplicate Detection Agent
Standardizes fields, then checks exact matches and Levenshtein/Jaro-Winkler fuzzy matches against prior invoices.
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Decision Agent
Combines rule confidence with a trained classifier score — auto-flag above 0.9, manual review 0.7–0.9, accept below.
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Workflow & Learning Agent
Blocks the payment, notifies the AP team, opens a case, and retrains the classifier from reviewer feedback.
Powering the Agents
100+ Connectors, Ready to Plug In
The Agentic AI Chatbot reaches your existing systems directly, so agents like the ones above can read and act on real records — no custom integration work per data source.
100+
Pre-built connectors across databases, storage, and business systems
Databases
Cloud Storage
Collaboration & Docs
Sharepoint
Confluence
One Note
Oracle
PostgreSQL
Databricks
MySQL
Snowflake
S3
ADLS
Google Cloud Storage
Vector Databases
Pinecone
Milvus
SAP
NetSuite
Salesforce
Business Systems
ASK IT ANYTHING, IN PLAIN ENGLISH
One Assistant, Two Kinds of Data
That one chat reply — "flagged, payment blocked, AP team notified" — is produced by four agents handing work off to each other in a single workflow, not one model guessing at an answer.
Chat on Structured Data
Query Oracle, MySQL, PostgreSQL, or Snowflake in plain English — the assistant writes and runs the query for you.
"Show top 10 SKUs by return rate this quarter"
Sources: Oracle · MySQL · PostgreSQL · Snowflake
Chat on Unstructured Data
Ask questions against contracts, reports, and wikis; answers cite the source document, not a guess.
"What's the early-termination penalty in the Acme vendor contract?"
Sources: SharePoint · Confluence · PDFs in S3 / ADLS
ENTERPRISE KNOWLEDGE BASE
Indexed Once,
Retrieved Accurately Every Time
Sparkflows indexes your existing systems into a managed knowledge base with embeddings and vector retrieval, so answers stay grounded in your actual source material.
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Collaboration Platforms
SharePoint, Confluence Wiki, OneNote
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Document Repositories
PDF files in S3, ADLS, and other cloud storage
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Vector Databases
Pinecone, Milvus, and other retrieval stores
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Business Systems
ERP, CRM, and internal documentation, connected directly
BUILT IN
What Comes Standard
01
Topic-Based Routing
Classifies each query by topic before answering, so a billing question and a contract question don't get the same generic response.
02
No-Code Setup
Point it at a database or document library and deploy — no custom pipeline code to write or maintain.
03
Answers Cite Their Source
Every response traces back to the record, document, or table it came from, so reviewers can verify it in one click.
