⚡ AI in Control, 24/7

Introducing
Self‑Driving

Enterprise Apps

No Data Entry. No Approvals. No Reports. No SAP. Just Results.

We do not sell software.
We sell a Guarantee of Operational Autonomy.
Define your logic once in SQL. Our AI agents execute it across Email, WhatsApp, and Systems—24/7.

Launch Self‑Driving App See ROI →

1,047%Avg. 1st‑Year ROI

70%Faster Processing

$0Manual Data Entry

Self-Driving Enterprise Apps - No Data Entry. No Approvals. No Reports. No SAP. Just Results.

⚡ Buy self-driving CRM, ERP, SCM, HRM & More

"Software used to wait for people. Now it operates on it's own."

The goal was never better prompts.
It was getting the work done.

While others obsess over prompt engineering, we've built AI Employees that execute.

"Describe what needs to happen, your AI Employee handles the rest."

No complex configuration. No endless fine-tuning. Just tell your AI Employee what outcome you want, and it figures out the rest—using tools, policies, and approvals where needed.

How Self‑Driving Works

Define your business processes once in Mermaid, and the system executes them forever.

Define

Paste your Mermaid flowchart into the loop editor. The system parses it into executable SQL rules.

Connect

Integrate your existing data sources – CRM, ERP, emails, bank feeds – via simple APIs.

Run

AI monitors all events: emails, status changes, timers. Automatically advances documents and tasks.

Improve

Continuous learning. The system logs every action, refines rules, and boosts efficiency.

What's Broken in Today's AI

Most enterprise AI solutions force you in many compromises. Self‑Driving Apps fix all.

⚠️ The Copilot Trap

AI-Enabled Apps Are Assistive, Not Executing

WHAT THEY ARE: Microsoft Copilot, Salesforce Einstein, and other AI-wrapped SaaS tools.

How they work: They sit inside existing applications, waiting for humans to prompt, click, or approve. They are reactive. If humans stop, the work stops. They assist but never take ownership.

✅ Self‑Driving Difference

AI Employees don't wait for prompts. They execute workflows end-to-end, manage human handoffs, resolve exceptions, and move work forward on their own.

🔧 The Builder Burden

Generic AI Employee Platforms

WHAT THEY ARE: Agent orchestration frameworks, LLM toolkits, and custom agent builders.

How they work: They give you components—models, tools, vectors—and expect you to engineer the system yourself, like assembling a car from spare parts. Months of prompt tuning, integration wiring, governance design, and retries before any real work gets done.

✅ Self‑Driving Difference

Deliver ready-to-run AI Employees, not agent parts. Each AI Employee is role-based, policy-driven, and production-grade available from day one.

Hire Multi-Agentic AI Workforce

Self-Driving Apps operate through a coordinated AI workforce—not chatbots or copilots.

🧠

Orchestrator AI — The Manager

Owns context, state, memory, policies, and decision-making

The Orchestrator is the AI conductor that manages a digital workforce of operator agents. Instead of letting autonomous agents operate independently, the orchestrator:

Maintains global context across workflows
Delegates tasks to the right operator agents at the right time
Enforces compliance checks and company policies
Coordinates human approvals when needed
Creates a complete audit trail of every decision

→ Decides what happens next, who does it, and when humans step in

⚙️

Operator AIs — The Workers

Execute deterministic tasks across enterprise systems

Specialized AI Employees that handle specific business functions. Each is role-based, policy-driven, and production-grade from day one.

Accounts Payable — Invoice processing, vendor validation, payments
Accounts Receivable — Collections, reconciliations, payment tracking
Procurement — Vendor onboarding, purchase requests, approvals
Sales Enablement — Proposals, deal support, CRM updates
HR Operations — Onboarding, exits, compliance workflows
IT Support — Ticket resolution, L1 troubleshooting, incident management
Customer Support — L1/L2 ticket resolution, knowledge base, escalation

→ Post transactions, reconcile data, validate documents, trigger workflows

"Describe what needs to happen, your AI Employee handles the rest."

AI Command Centers

Self-Driving Apps don't live in isolation. They operate inside AI Command Centers — purpose-built for Finance, IT, Procurement, HR, and Operations.

📊

Accounts Payable AI Command Center

90% Straight-Through Processing for PTP. Automate the entire Procure-to-Pay lifecycle. Use Agentic OCR and multisource validation (PO/GRN/Contract) to eliminate manual invoice handling.

⏱️ 90% faster

🖥️

NOC AI Command Center

Autonomous Incident Resolution. Move beyond monitoring to execution. Orchestrate AI Employees to detect anomalies, troubleshoot Level 1 incidents, and ensure 100% uptime for high-scale enterprise infrastructure.

⚡ 100% uptime

👤

Super Recruiter AI Command Center

End-to-End Talent Lifecycle Management. Scale your recruitment engine. AI Employees source, screen, and coordinate candidate lifecycles, enabling your HR team to focus on culture and strategic hiring.

🎯 End-to-end

📄

Tender Drafting AI Command Center

Compliant NIT/RFP Creation in Minutes. Transition from weeks of manual drafting to instant, high-precision document creation. Anchored in your organization's past tenders and procurement manuals.

📝 Minutes vs. weeks

📋

Tender Evaluation AI Command Center

Governed Technical & Commercial Scoring. Ensure 100% compliance with GFR 2017 and CVC rules. Bias-free evaluation agents score technical bids and identify L1 outliers with automated decision rationale.

✅ 100% compliance

🧠

Knowledge AI Command Center

Scaling Intelligence via Memory Fabric. Turn fragmented data into institutional wisdom. A unified learning layer that learns from every human interaction to provide context-aware support for your entire global workforce.

📚 Institutional wisdom

The Killer App:
Buy Self running Enterprise Apps

Your Business Brain That Writes Itself. Stop buying static software's like costly SAP/ERP, CRM etc.. Buy a self running, living, learning system like SoftRobot.

🧠

1. The Brain (SQL Tables)

Your business logic lives in simple SQL tables—like a giant, editable spreadsheet. Finance, Ops, and Sales teams can add, edit, or delete rules instantly. No code. No IT backlog. Changes are live in milliseconds.

👁️

2. The Eyes & Ears (Feedback)

The AI logs every single decision. But the magic happens when a human corrects it. Every override, rejection, or approval is captured as feedback. The system knows exactly when it makes a mistake.

💡

3. The Brainstorm (AI Suggests)

Every night, the AI reads the diary of human corrections. It finds hidden patterns, detects broken thresholds, and drafts new, smarter rules. It even explains *why* the new rule will work.

🤝

4. The Handshake (Deploy)

You wake up to a simple suggestion. If you agree, click 'Approve'. The rule is instantly written to the SQL table. The AI runs flawlessly from that moment on. Zero downtime.

📖 Real‑Time Scenario: The $4,700 Invoice

9:00 AM – AI auto‑approves a $4,700 invoice based on the old rule (< $5,000).
9:30 AM – The Finance Manager corrects it, noting: "Client has poor payment history."
1:00 AM – AI analyzes 5 similar corrections and drafts a new rule.
9:00 AM – Manager clicks 'Approve'. New rule is live.
Result: The system never makes that mistake again. Your business gets smarter overnight.

⏰ 9:00 AM – Auto‑approve ⏰ 9:30 AM – Human corrects ⏰ 1:00 AM – AI drafts fix ⏰ 9:00 AM – Approve & deploy ✅ Never repeats the same mistake

System Architecture: Event-to-Action Flow

How triggers become autonomous actions—powered by SQL rules and AI orchestration.

📧 Email 💬 WhatsApp 📱 App ⏰ Timer 🔗 Webhook

↓

🔍 Event Listener & Parser

Email IMAP/SMTP · WhatsApp Webhook · REST API Gateway

↓

🧠 AI Orchestration Engine - The Manager

🎯

Intent Classifier

Understands user intent

📋

Task Decomposer

Breaks down complex requests

🗺️

Router

Decision via Rules/LLM

⚡

Executor

Schedules & triggers actions

⚙️ Hybrid Decision Engine

Step 1: SQL Decision Tables — e.g., Invoice < $5k → Auto-Approve.
Step 2: LLM Fallback — If undefined, LLM understands context, drafts response, or proposes new SQL rules.

↓

📋

Ticket System

Create/Update tickets for human review

🔗

API/RPA Executor

Update CRM, Create PO, Schedule Tasks

📤

Output Channels

Email, SMS, WhatsApp, Dashboard

↓

📊 Continuous Learning Engine

Logs every action → Analyzes deviations → Suggests new SQL rules to prevent future human intervention

🔴 LIVE DEMO WALKTHROUGH

See It in Action: The CoolAir Crisis

Follow a real WhatsApp breakdown alert as it flows through the system—from panic to AI-powered resolution in under 2 seconds.

💬

1. The Message

WhatsApp from Plant 3

"URGENT: Cooling unit down"

🔍

2. The Listen

System reads & enriches

Customer Tier: Gold

🧠

3. The Brain

Checks SQL Rulebook

Matches Rule SVC-01

⚡

4. The Actions

3 things happen at once

Reply + Ticket + SMS

📊

5. The Learning

AI analyzes the fix

Suggests new rule for Part #CP-22

🤝

6. The Improvement

Human Approves

Rule goes live forever

⚙️ The SQL Rule That Saved the Day

IF customer_tier = "Gold" AND issue_type = "Breakdown"
THEN Auto-Dispatch Nearest Tech · Reply to Client · SMS Manager

The Crisis (WhatsApp)

A Gold-tier client's main cooling unit fails. The warehouse manager sends a panic message via WhatsApp.

📨 Incoming: "URGENT: Main cooling unit in Plant 3 stopped. Error E-42. Temp rising fast!"

The Brain Checks the Rulebook

The AI extracts the client ID, looks up their tier, and queries the SQL Decision Table instantly.

✅ Match Found (SVC-01):
IF Tier = "Gold" AND Issue = "Breakdown"
→ Auto-Dispatch Technician

3 Instant Actions

The system executes three tasks simultaneously without any human touching a keyboard.

📱 Client: "Tech Raj arriving at 9:45 AM"
📋 Ticket: TCK-8899 (Priority P0)
📲 Manager: "Gold alert dispatched."

The Fix & Log

Tech Raj arrives, replaces a faulty capacitor (#CP-22), and closes the ticket. The system logs every detail.

✅ Resolution: "Replaced Capacitor CP-22. System stable."
⏱️ SLA: 45 mins (Under 2-hour target)

The AI Brainstorm (1 AM)

At night, the AI scans the logs. It notices 3 breakdowns needing #CP-22 in 7 days. Current stock is dangerously low.

💡 AI Suggestion:
"Auto-reorder Part #CP-22 when stock < 5 units.
Reasoning: 3 breakdowns in 7 days."

The Handshake (Deploy)

The Operations Manager gets the suggestion, clicks 'Approve', and the new SQL rule is live in milliseconds.

🚀 New Rule (INV-99):
IF Part_ID = "CP-22" AND Stock < 5
→ Auto-create Purchase Order.
✅ Never run out again.

One Software. Four Self‑Driving Layers.

Enterprise Apps, Stakeholder Portals, Employee Tools, and IoT Resources — all autonomously orchestrated.

Business Self‑Driving AI Software

Enterprise‑grade applications that run your core operations without manual intervention.

CRM (Sales & Marketing)
ERP (Finance & Operations)
SCM (Supply Chain)
HRM (Human Resources)
EAM (Asset Management)
PLM (Product Lifecycle)
QMS (Quality Management)
GST, TDS & Compliance

Stakeholder Self‑Driving AI Software

Engage customers, partners, and vendors where they are — with zero human effort.

📧 Email Automation
💬 WhatsApp Business API
🛒 eCommerce & POS
🤖 AI ChatBots
🔗 Partner Portals
📱 Mobile Apps

Employee Self‑Driving AI Software

Empower your workforce with self‑service tools that eliminate busywork.

🎫 Ticket System (IT/Support)
📝 Meetings & MOM
🎯 KRA & OKR Tracking
📅 Project MRP Schedulers
⏳ Timesheets & Leave
🧾 Expense Automation

Resource Self‑Driving AI Software

Connect the physical world with intelligent IoT and tracking systems.

📸 Face Attendance
📦 Barcode / QR Code Inventory
📱 Mobile App (Field Ops)
🏭 IoT Sensor Monitoring
🚚 Fleet & Logistics
🔧 Predictive Maintenance

Only Exceptions Go to Humans

Everything else runs autonomously. Employees, customers, suppliers, and regulators interact via tickets.

👔 Employee Approvals

Managers get tickets for budget deviations, contracts, or quality issues.

🏭 Supplier Queries

Vendors receive secure forms; their responses are automatically parsed.

💬 Customer Support

AI suggests solutions; agents handle only the escalations.

📊 Investor & Board

Automated periodic reports with on‑demand access to real‑time data.

🏛️ Government Compliance

Auto‑generated filings with human sign‑off tickets.

🔄 Reconciliation

AI matches feeds across employees, suppliers, banks, and tax — exceptions ticketed.

Cost, Overhead & Profit Impact

See how Self‑Driving Apps slash manual work and boost revenue.

Area	Traditional (Manual)	Self‑Driving (AI)	Annual Savings
Data Entry	1,200 hours/year	~50 hours (exceptions only)	$48,000
Approvals & Reviews	800 hours/year	Automated + tickets for edge cases	$32,000
Report Generation	400 hours/year	Real‑time dashboards, zero manual	$16,000
Procurement Cycle	Average 10 days	Average 3 days	$20,000
Order‑to‑Cash	45 days	28 days	$45,000
Customer Support	5 FTEs	1 FTE + AI chatbots/tickets	$160,000
Total Annual Savings			$321,000
Additional Revenue (Faster Sales)			+$150,000
Net Profit Increase			$471,000

*Source: SoftRobot internal analysis based on enterprise deployments.

Pricing That Aligns with Your Success

We charge based on the results we deliver, not the number of users.
We only win when you win.

💰 ROI‑Share

20–30% of net savings

Zero upfront risk
Unlimited workflows & users
Full AI orchestration
Dedicated success manager

Contact Sales

📦 Per‑Transaction

$0.50 – $2.00 / transaction

Perfect for high‑volume B2B/eComm
All channels included
Pay only for what you use

Get Started

🔄 Per‑Workflow

$500 – $2,000 / month

3–10 core processes
Email + WhatsApp + Tickets
Best for SMBs