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Software that adapts to your business, not the other way around.

We build intelligent workflows that automate back office operations, business development, and sales intelligence. Work that currently requires teams of people—financial processing, proposal generation, lead research—delivered as managed automation on Ghostrun infrastructure. Fixed-price engagements. We manage operations. Results in 90 days.

🧠 Intent-driven workflows, not button-driven tasks
🔄 Adapts to your business, not vice versa
⚡ Production systems running 12-18 months

One workflow. Prove the paradigm. Scale from results.

Why every "AI-powered" platform still feels like fighting the software

For decades, enterprise software followed one pattern: database + hard-coded business logic. Your CRM has fixed fields. Your proposal tool has templates. Your research platform runs predetermined queries. When your business changes, you wait 6-18 months for vendors to build features, pay $100K+ for custom development, or export to Excel and do it manually. The software doesn't adapt to you. You adapt to it.

NATIVE AI SOFTWARE

From Fixed Logic to Intelligent Workflows

How Ghostrun works differently than every platform you've used
See the architecture →

Traditional software executes predetermined paths. Button does one thing. Same input, same output, every time. Native AI software understands intent and adapts execution. You express what you need. The system plans the optimal sequence. The workflow adjusts to your specific situation. It scales without headcount.

Traditional SaaS:

  • Fixed features developers coded months ago
  • Hard-coded workflows
  • Button triggers one predetermined path
  • Change requires development cycles
  • One-size-fits-all
→

Native AI (Ghostrun):

  • Intent-driven actions configured for your needs
  • Workflows that plan optimal sequences
  • System understands context and adapts
  • Change through configuration
  • Tailored to your business process

Built for businesses where every efficiency gain flows to the bottom line.

Example: Lead Prioritization

Traditional CRM: Your sales team wants to prioritize leads based on funding rounds, tech stack compatibility, hiring signals, and buying intent. The CRM can't do this without custom development. Export to Excel. Manually research each lead. Update fields one by one. The "system" is actually a human doing what the software should.

Ghostrun: "Research these 50 leads and rank by fit." The orchestration engine plans the sequence: check funding databases → analyze tech stack → review hiring data → score against ICP → update CRM → generate prioritized list. Execution happens automatically. Work ships, not tasks.

Five Integrated Layers. One Intelligence.

01

Orchestration Engine

Converts business requests into automated multi-step workflows. Plans execution sequences, manages dependencies, handles errors and recovery automatically.

02

Intelligence Layer

25+ agentic capabilities delivered in one AI workflow engine. Research, analysis, file processing, enterprise integrations including Salesforce, HubSpot, Airtable, Slack, Notion, Google Drive, Microsoft Teams, OneDrive, and dozens more.

03

Knowledge Infrastructure

Enterprise memory that compounds. Research gets stored and reused. Pattern recognition improves with usage. The platform becomes more valuable the longer you use it.

04

Autonomous Operations

Self-executing processes. Event-driven workflows that run without human triggering. Schedule-based execution, webhook receivers, condition monitoring. Systems that operate 24/7.

05

Enterprise Foundation

Multi-tenant architecture with row-level security (RLS) and complete customer isolation. MFA and SSO via Okta. System of record service with custom apps (CRM, project management, knowledge bases) integrated directly into AI workflows. Data encrypted at rest and in transit with GDPR compliance built-in.

Why legacy platforms can't retrofit this: They're adding AI features to database-driven architectures. Ghostrun was built from the ground up for intelligent execution—not hard-coded logic with AI sprinkled on top.

Explore the full architecture →

Native AI Capabilities

What makes intelligent workflows possible — complete, reliable work products, not just fragments. See how we deploy these in delivered systems →

✍️

Text Generation & Analysis

Generate, transform, or analyze text content using the most advanced LLMs

🔍

Live Web Search

Search the internet for current information with citations

🌐

Deep Website Analysis

Navigate and extract comprehensive content from specific websites

📄

Document Search

Intelligent search across your uploaded files and documents

🔗

External Tool Integration

Connect to external databases, APIs, and specialized tools

🎭

Multimodal Processing

Analyze and reason over images, audio, and mixed media content

💻

Code Execution & Data Analysis

Run Python code for calculations, data processing, and analysis

🎨

Image Generation

Create custom images and visual content from text descriptions

🎵

Text To Speech

Convert your report or other text to audio files

The Hidden Labor Tax—Why "AI-Powered" Platforms Still Require In-House Teams

Every automation vendor sells software. Few tell you about the staff required to operate it.

Shallow Automation (Zapier, Make, n8n)

Problem: Brittle flows that break when APIs change. Teams babysitting automations instead of focusing on customers.

Hidden Cost: Most low-code automations require unexpected ongoing maintenance, wiping out margin (Gartner, 2023).

Reality: You automate tasks, not work. The system shuttles data. Humans still do the thinking. Your team becomes software operators instead of running your business. Operating expenses increase while margins compress.

Enterprise Platforms (Workato, UiPath, Power Automate)

Problem: $1,000+ per workflow. "Struggle to scale beyond shallow automation logic" (Forrester).

Hidden Cost: Keeping it fully in-house requires 3–5 additional FTEs, including DBAs, solution architects, and full-time mappers (OpenText). Your team becomes software operators instead of running your business. Operating expenses increase while margins compress.

Reality: Enterprise prices, but you still hit ceilings on complexity and need staff to operate it.

Native AI (Ghostrun)

Solution: Intelligent workflows that deliver finished work products—research, analysis, content generation, system updates automatically.

We Manage: Infrastructure, integration, monitoring, optimization. Zero labor burden. You get delivered automation. Operational leverage improves as your team focuses on revenue while we manage all technical operations.

Pricing: Fixed engagement pricing. Ongoing managed services fee. Fixed OpEx, predictable impact on EBITDA. No per-user fees. No task limits.

The software price is just the beginning. Hidden labor costs kill margin. We eliminate the labor burden—you get automation that actually works.

Frequently Asked Questions

Traditional platforms bolt AI features onto database-driven architectures. Business logic is still hard-coded. Ghostrun was built from the ground up for intelligent execution—workflows understand intent and adapt execution automatically, without predetermined paths or developer involvement.

Yes. We integrate to your apps and data; no rip-and-replace. We provide white glove integration services connecting your data to Ghostrun and providing you a custom UX for workflow outputs.

Enterprise-grade security throughout. All data encrypted at rest and in transit. MFA authentication with any authenticator app of your choice. SSO integration with Okta for enterprise identity management. Row-level security (RLS) ensures data isolation. Our system of record service is GDPR compliant with comprehensive audit trails. API keys and credentials stored in encrypted vaults with proper access controls.

No. We route across providers for reliability and performance. Ghostrun combines multiple agentic capabilities and handles provider switching automatically.

Yes. The manufacturing back office system has run for 18 months. The business development system for 12 months. The prospecting intelligence system processes hundreds of leads weekly. These are business-critical operations that teams depend on daily, not proof-of-concepts.

Most engagements show quantifiable results within 90 days. We focus on high-impact workflows first—typically back office automation or business development—where improvements directly affect margins. Our approach: prove ROI on one workflow, then expand. This phased deployment minimizes risk while demonstrating clear EBITDA contribution before larger commitments.

Our team has built enterprise systems and AI integrations with Fortune 500 companies, government agencies, and startups. All of our technical staff are senior and principle data scientists and AI engineers with deep expertise in B2B development. Read our technical insight on why architecture determines AI performance.

One workflow. One owner. One success metric. Expand from there. We start with a pilot to prove margin impact before broader implementation.

See Native AI Software in Your Workflow

Book a 20-minute fit call. We'll identify one workflow where intelligent execution delivers measurable margin impact. You'll see how Native AI software works—not in a demo environment, but solving your actual business problem.

One workflow. Prove margin impact. If we can't automate a durable win, don't expand.