We analyze your manual processes and build intelligent automation: GPT-4, Claude, Gemini, Llama 4, DeepSeek-R1 for decisions. Temporal, Airflow, n8n for orchestration. Invoice processing, contract automation, HR onboarding, order fulfillment.
Start with YOUR bottlenecks, not technology
Staff spending 10-20 hours/week on repetitive tasks (data entry, approvals, document processing)
✓ Our Solution:
AI automates 70-90% of manual tasks. Free your team for strategic work. Process thousands of documents automatically.
Manual processing errors cost 1-3% of revenue. Inconsistent quality. Compliance risks.
✓ Our Solution:
AI ensures 99.5%+ accuracy. Same process every time. Built-in compliance validation. Automatic error detection.
Invoices take 5-10 days to process. Contract approvals take weeks. Customer onboarding takes 3-7 days.
✓ Our Solution:
AI reduces process time by 80-95%. Invoice processing in minutes. Real-time approvals. Same-day onboarding.
Hiring more staff for growth ($50K+ per employee/year). Can't handle seasonal spikes efficiently.
✓ Our Solution:
AI scales infinitely. Handle 10x volume with same team. Automated overflow handling. No hiring needed.
We choose the optimal AI models and workflow tools based on your process requirements
See how we match your manual processes to the right AI automation stack
Invoice processing automation (AP workflow)
Manual data entry (5-10 min/invoice), approval delays, payment errors, lost invoices
AI Invoice Processing Workflow
GPT-4 Vision for extraction + Llama 4 for validation + Temporal for orchestration
Hybrid (GPT-4 API for extraction, Llama self-hosted for validation)
OCR → AI extraction → validation → approval routing → ERP integration → payment
85% faster processing, 99.5% accuracy, 70% cost reduction
8-10 weeks
Contract review & approval automation
Legal review takes 2-5 days, missed renewal dates, compliance risks
AI Contract Analysis Workflow
Claude 3.5 for clause extraction + DeepSeek-R1 for risk analysis + GPT-4 for summaries
Cloud APIs (complex legal reasoning requires premium models)
Upload → AI clause extraction → risk scoring → compliance check → approval routing → execution
80% faster review, auto-renewal alerts, 100% compliance coverage
10-12 weeks
Employee onboarding automation (HR)
Manual document collection, system provisioning takes 3-7 days, inconsistent process
AI HR Onboarding Workflow
Llama 4 for task routing + GPT-4 for personalized emails + Airflow for orchestration
Hybrid (Llama self-hosted for routing, GPT-4 API for communications)
Welcome email → document requests → AI verification → system provisioning → training scheduling
90% faster onboarding (same day), zero errors, better employee experience
6-8 weeks
Customer KYC/onboarding automation (financial services)
Regulatory compliance (AML, KYC), document verification takes 3-5 days, fraud risk
HIPAA/AML-Compliant KYC Workflow
Claude 3.5 for compliance + on-premise Llama 4 for document verification + fraud detection
Hybrid (Claude API for regulatory, Llama on-premise for sensitive data)
Document upload → AI verification → AML screening → risk assessment → approval → account activation
75% faster onboarding, 100% compliance, 50% fraud reduction
12-14 weeks (includes compliance setup)
Order fulfillment automation (e-commerce)
Manual order processing, inventory errors, shipping delays, customer complaints
AI Order Fulfillment Workflow
Llama 4 for order validation + DeepSeek-R1 for inventory optimization + Temporal for orchestration
Self-hosted (high volume, cost-effective)
Order → validation → inventory check → AI routing → picking → packing → shipping → tracking
95% automation rate, 60% faster fulfillment, 80% fewer errors
10-12 weeks
Insurance claims processing automation
Manual claim review (2-5 days), fraud detection, compliance, customer dissatisfaction
AI Claims Processing Workflow
GPT-4 Vision for document analysis + DeepSeek-R1 for fraud detection + Claude for compliance
Cloud APIs (complex reasoning, need premium quality)
Claim submission → AI document extraction → fraud scoring → policy validation → approval/denial → payment
70% faster claims, 40% fraud reduction, 99% accuracy
12-16 weeks
Expert workflow automation, not just implementation
We analyze YOUR manual processes, then recommend the optimal AI models (GPT-4, Claude, Llama, DeepSeek) and orchestration tools.
Use best AI for each task: GPT-4 for decisions, Claude for compliance, Llama for volume. Switch models without rebuilding.
Intelligent routing (Llama for simple tasks, GPT-4 for complex), batch processing, hybrid deployment. 70-85% cost savings.
Built-in audit trails, HIPAA/GDPR/SOC 2 compliance. Choose cloud (OpenAI, Claude) or on-premise (Llama) based on YOUR requirements.
AI extracts data from invoices, contracts, forms with 99.5% accuracy. GPT-4 Vision, Claude 3.5, or self-hosted Donut/LayoutLM.
Temporal, Airflow, or n8n for reliable workflows. Automatic retries, error handling, monitoring. 99.9% uptime.
Our systematic approach to workflow automation technology selection
| Criteria | Low Need | Medium Need | High Need |
|---|---|---|---|
| Decision Complexity | Llama 4 70B, DeepSeek-R1 (simple routing) | GPT-4 (moderate logic, business rules) | Claude 3.5, GPT-4 (complex compliance, contracts) |
| Document Type | Tesseract OCR + Llama 4 (simple forms) | Donut fine-tuned (invoices, receipts) | GPT-4 Vision, Claude 3.5 (complex contracts, tables) |
| Processing Volume | <1000 docs/day: Cloud APIs (GPT-4, Claude) | 1K-10K/day: Hybrid (self-hosted + APIs) | >10K/day: Fully self-hosted (Llama 4, unlimited) |
| Data Privacy | Cloud APIs OK (OpenAI, Anthropic) | Hybrid (sensitive on-premise, general cloud) | Fully on-premise (Llama 4, HIPAA/GDPR) |
| Workflow Complexity | n8n (simple integrations, webhooks) | Airflow (scheduled batch, ETL) | Temporal (long-running, state management, SLAs) |
Every industry has unique processes - we know which AI stack works best
Challenge:
Invoice processing (5-10 min/invoice), approval delays, payment errors, audit compliance
Solution:
GPT-4 Vision for extraction + Llama 4 validation + Temporal orchestration + ERP integration
AI Stack:
GPT-4 Vision (API), Llama 4 70B (self-hosted), Temporal
Results:
85% faster, 99.5% accuracy, 70% cost reduction
Challenge:
Contract review (2-5 days), clause extraction, risk assessment, compliance, renewals
Solution:
Claude 3.5 for clauses + DeepSeek-R1 for risks + GPT-4 for summaries + Airflow for renewals
AI Stack:
Claude 3.5 API, DeepSeek-R1 (self-hosted), GPT-4
Results:
80% faster review, auto-renewal alerts, 100% compliance
Challenge:
Employee onboarding (3-7 days), document collection, system provisioning, training
Solution:
Llama 4 for routing + GPT-4 for emails + Airflow for task scheduling + SSO integration
AI Stack:
Llama 4 (self-hosted), GPT-4 API, Airflow
Results:
Same-day onboarding, zero errors, better experience
Challenge:
KYC/AML compliance, document verification (3-5 days), fraud detection, regulatory reporting
Solution:
Claude 3.5 for compliance + Llama 4 on-premise for docs + fraud detection ML + Temporal
AI Stack:
Claude 3.5 (compliance), Llama 4 (on-premise), fraud ML
Results:
75% faster, 100% compliance, 50% fraud reduction
Challenge:
Order processing, inventory management, fulfillment, shipping, customer notifications
Solution:
Llama 4 for validation + DeepSeek-R1 for inventory + Temporal for orchestration
AI Stack:
Llama 4 70B (self-hosted), DeepSeek-R1, Temporal
Results:
95% automation, 60% faster, 80% fewer errors
Challenge:
Claims processing (2-5 days), fraud detection, policy validation, payment automation
Solution:
GPT-4 Vision for claims + DeepSeek-R1 for fraud + Claude for policy + Camunda BPMN
AI Stack:
GPT-4 Vision, DeepSeek-R1, Claude 3.5, Camunda
Results:
70% faster, 40% fraud reduction, 99% accuracy
From workflow consulting to full automation platform
Process Analysis Report
🚀 Consulting only - no development
One Workflow (Invoice, Contract, etc.)
🚀 Cloud API (OpenAI/Anthropic) OR Self-hosted (Ollama)
Multiple Workflows + Orchestration
🚀 Hybrid (self-hosted for volume, APIs for premium)
Custom Automation Ecosystem
🚀 Multi-cloud + on-premise hybrid, custom GPU cluster
Everything you need for production-ready workflow automation
Everything you need to know about AI workflow automation
It depends on the workflow task: (1) Document extraction: GPT-4 Vision, Claude 3.5 (premium quality, complex contracts) OR Donut/LayoutLM fine-tuned (cost-effective, invoices/forms). (2) Decision-making: GPT-4, Claude 3.5 (complex business logic, compliance) OR Llama 4 70B, DeepSeek-R1 (simple routing, classification). (3) Text generation: GPT-4 (personalized emails, summaries) OR Llama 4 (templates, notifications). (4) Volume: <1000 docs/day → Cloud APIs (GPT-4, Claude). 1K-10K/day → Hybrid (Llama self-hosted for volume, GPT-4 for complex). >10K/day → Fully self-hosted (Llama 4, unlimited). We analyze YOUR processes and recommend the optimal AI stack. Often hybrid is best: 80% of simple tasks on Llama (cheap), 20% complex tasks on GPT-4 (quality).
Manual processing costs: Invoice processing: 5-10 min/invoice × 1000 invoices/month = 83-167 hours/month × $30/hour = $2,500-$5,000/month = $30K-$60K/year. Contract review: 2-5 days/contract × 50 contracts/month = 100-250 hours × $100/hour (legal) = $10K-$25K/month = $120K-$300K/year. Our automation: One-time dev: $12K-$65K (based on complexity). Hosting: $200-$1K/month (cloud VMs or GPUs). AI costs: Hybrid approach: Llama 4 self-hosted (80% of volume, $0 API fees) + GPT-4 API (20% complex, $500-$2K/month) = $700-$3K/month total. Savings: Invoice example: Manual $30K/year → Automated $3K/year = $27K saved (90% reduction). Contract example: Manual $120K/year → Automated $10K/year = $110K saved (92% reduction). Break-even: 6-18 months. ROI: 300-900% over 3 years.
Depends on workflow requirements: (1) n8n: Best for simple integrations, webhooks, API chaining. No-code interface. Great for marketing automation, Zapier-style workflows. Example: Email trigger → AI processing → Slack notification. (2) Airflow: Best for batch workflows, ETL pipelines, scheduled tasks. Python-based, great for data teams. Example: Daily invoice batch processing, nightly reports. (3) Temporal: Best for long-running workflows, complex state management, SLAs, high reliability. Automatic retries, failure handling. Example: Multi-day contract approval workflow, order fulfillment with inventory tracking. (4) Camunda BPMN: Best for enterprise compliance, BPMN standard, audit requirements. Example: Financial services, healthcare, regulated industries. We often use: Temporal for mission-critical (99.9% uptime), Airflow for data/batch, n8n for quick integrations. Can combine all three in one platform!
YES! AI workflows handle complex approval chains: (1) Conditional routing: If invoice >$10K → CFO approval. If invoice >$50K → CEO approval. AI determines routing automatically. (2) Parallel approvals: Multiple departments review simultaneously (legal + finance + operations). AI aggregates decisions. (3) Sequential approvals: Step 1: Manager → Step 2: Department head → Step 3: Finance. AI enforces order. (4) Intelligent escalation: If no response in 24 hours → auto-escalate to next level. AI sends reminders. (5) Exception handling: AI detects anomalies (duplicate invoice, over budget) → routes to exception queue for human review. Example: Invoice workflow: AI extracts data → validates against PO → checks budget → routes to manager (auto-approved if <$5K) → routes to finance (if >$5K) → routes to CFO (if >$50K) → posts to ERP → sends payment notification. All automated with human oversight only when needed. Saves 85% of time while maintaining full control.
Accuracy depends on AI model: (1) GPT-4 Vision: 97-99% accuracy on complex documents (contracts, tables, multi-language). Best for high-value workflows where errors are costly. (2) Claude 3.5: 96-98% accuracy, excellent for long contracts (200K tokens), compliance documents. (3) Fine-tuned Donut/LayoutLM: 95-98% accuracy on invoices/receipts after fine-tuning on your documents. Cost-effective for high volume. (4) Tesseract OCR + Llama 4: 92-95% accuracy for simple forms. Very cheap. Improving accuracy: (1) Fine-tuning: Train on your specific document types (invoices, contracts). Improves accuracy by 3-5%. (2) Validation rules: AI cross-checks extracted data (PO matching, budget validation). Catches 90% of remaining errors. (3) Confidence scoring: Low confidence → human review (typically 5-10% of docs). High confidence → auto-process (90-95%). (4) Learning loop: Humans correct errors → AI learns → accuracy improves over time. Real-world results: Invoice processing: 99.5% accuracy (GPT-4 + validation). Contract clauses: 98% accuracy (Claude 3.5). Receipts: 97% accuracy (fine-tuned Donut).
YES, with proper deployment: (1) Healthcare (HIPAA): Deploy Llama 4 70B on-premise for document processing. Temporal workflows on-premise. Data NEVER leaves your network. No OpenAI, no Anthropic. Includes: encryption (TLS 1.3, AES-256), audit logs (every workflow step logged), access controls (RBAC), PHI detection/masking, BAA (Business Associate Agreement). Example: Patient intake workflow: AI extracts PHI → validates insurance → routes to provider (all on-premise). (2) Finance (GDPR, PCI-DSS): Hybrid deployment: Claude 3.5 API for general compliance (Anthropic is SOC 2, HIPAA-eligible), Llama 4 on-premise for sensitive data (SSN, account numbers). Data residency (EU servers only if required). Example: KYC workflow: AI processes passports on-premise → sends anonymized data to Claude for AML checks → stores results in EU database. (3) Audit trails: Every workflow step logged (who, what, when, why). Immutable audit logs for compliance. Reports for auditors. Cost: On-premise deployment starts at $65K (includes compliance setup). Cloud with compliance: $28K (using HIPAA-eligible APIs). We handle: BAA agreements, security reviews, compliance documentation, auditor reports.
We integrate with ANY system that has an API or database: (1) ERP: SAP, Oracle, NetSuite, Dynamics 365, QuickBooks, Xero (invoice posting, PO matching, payment processing). (2) CRM: Salesforce, HubSpot, Pipedrive, Zoho (lead routing, deal updates, customer data). (3) HRIS: Workday, BambooHR, Namely, ADP (employee onboarding, payroll, time tracking). (4) Email: Gmail, Outlook, Exchange (automated emails, attachment extraction, notifications). (5) Storage: Google Drive, Dropbox, SharePoint, S3 (document upload/download, versioning). (6) Databases: PostgreSQL, MySQL, MongoDB, SQL Server (direct data queries, inserts, updates). (7) Collaboration: Slack, Teams, Discord (notifications, approvals via chat). (8) Payment: Stripe, PayPal, Bill.com (automated payments). (9) Legacy systems: If no API exists, we use RPA (Robotic Process Automation) or build custom connectors. Example workflow: Invoice arrives (email) → AI extracts data (GPT-4) → matches PO (ERP query) → routes for approval (Slack) → posts to ERP (SAP API) → schedules payment (Bill.com). All integrated seamlessly!
YES! We build flexible, modular workflows: (1) Visual workflow builder: Business users can modify workflows without coding (drag-and-drop nodes, change conditions). Example: Change approval threshold from $10K to $15K in UI. (2) Model-agnostic: Switch AI models without code changes (GPT-4 → Claude → Llama). Just update config. Example: Start with GPT-4, later switch to Llama 4 for cost savings. (3) Template-based: Create new workflows from templates (invoice processing template → customize for your business). (4) Version control: All workflow changes versioned. Rollback to previous version if needed. Test new version before production. (5) A/B testing: Run two workflow versions in parallel, measure which performs better. Example evolution: Month 1: Launch invoice workflow with GPT-4 (fast deployment). Month 3: Add contract workflow using same platform. Month 6: Switch to hybrid (Llama 4 + GPT-4) for cost savings. Month 12: Fine-tune Llama on your invoices for even better accuracy. You control the evolution. No vendor lock-in. No rebuild needed.
We'll analyze your manual processes and recommend the optimal automation stack (GPT-4, Claude, Llama 4, DeepSeek-R1, Temporal, Airflow) - with detailed ROI projections.
