Consultancy Services
Hands-on expertise to transform your processes into executable algorithms. From discovery to production – we work alongside your team.
🏢 For Organizations
Transform your business processes into AI-ready, executable algorithms. From assessment to enterprise-wide deployment.
Process Readiness Assessment
What You Get
- Identification of 3-5 high-impact processes for algorithmation
- Process readiness scorecard (complexity, documentation quality, stakeholder clarity)
- Effort vs. impact matrix for prioritization
- Recommended starting point with rationale
- Written summary document for internal stakeholders
How It Works
- Pre-call prep: You share 2-3 process documents or descriptions
- Discovery call: 90-minute session with your process owners and IT stakeholders
- Analysis: We assess complexity, automation potential, and AI readiness
- Deliverable: Written report with recommendations within 48 hours
Who it's for: CTOs, enterprise architects, operations leaders, and transformation managers exploring algorithmation or AI-readiness initiatives.
Prepare yourself: Read the Algorithmation Playbook to understand the methodology.
Book Free Assessment →Process as Code Workshop
What You Get
- One real process algorithmated end-to-end (BPMN workflow + DMN decisions)
- Working UAPF package that you own and can deploy
- ProcessGit repository set up for your organization
- Hands-on training for your team during the workshop
- Video recording of the session for future reference
- Process documentation with stakeholder sign-off template
Workshop Agenda
Day 1: Discovery & Modeling
- Process walkthrough with your SMEs
- Identify decisions, exceptions, edge cases
- Live modeling in Algomation Studio
- Team practices modeling hands-on
Day 2: Validation & Packaging
- Complete the BPMN/DMN models
- Validate against test scenarios
- Package as UAPF
- Set up ProcessGit, commit first version
Who it's for: Teams who want to see algorithmation in action with their own real process. Perfect for building internal capability and demonstrating value before a larger investment.
Request Workshop Proposal →Algorithmation POC Program
What You Get
- 3-5 interconnected processes algorithmated
- Production-ready UAPF packages with full documentation
- UAPF Engine deployment on your infrastructure
- AI agent integration (Claude, GPT, or your platform)
- Governance framework: roles, approvals, change management
- Knowledge transfer workshops for your team
- ROI measurement framework with baseline metrics
- Executive presentation of results
Typical POC Scope Examples
Financial Services:
- Credit approval + KYC verification + Collections escalation
Public Sector:
- Permit application + Review workflow + Citizen notification
HR Operations:
- Employee onboarding + Approval chain + Offboarding
Customer Service:
- Ticket routing + Escalation rules + Resolution workflow
Who it's for: Organizations ready to prove value at scale. Ideal after a successful workshop when you want to demonstrate cross-process benefits and build the business case for enterprise adoption.
Discuss Your POC →Enterprise Algorithmation Program
What You Get
- Dedicated algorithmation team working alongside yours
- Enterprise ProcessGit instance with SSO and access controls
- On-premises Algomation Studio deployment
- Priority support with defined SLAs
- Quarterly process reviews and optimization
- Executive dashboards and reporting
- Continuous training programs for new team members
- Roadmap alignment and technology advisory
Engagement Model
Dedicated Resources:
- Named consultant(s) embedded with your team
- Weekly syncs, monthly reviews, quarterly planning
Support & SLAs:
- Priority response for production issues
- Defined escalation paths
Governance:
- Joint steering committee
- Success metrics and KPI tracking
Who it's for: Organizations committed to algorithmation as a strategic capability. For enterprises that have proven value in pilots and want to systematically build their organizational process memory.
Contact Enterprise Sales →💻 For Software Companies
Your codebase contains decades of business knowledge that AI can't access. We extract it into machine-readable knowledge packages — before someone rebuilds it from scratch.
Code Intelligence Audit
What You Get
- Complete Knowledge Map of business rules in your codebase
- Business logic inventory categorized by domain (payroll, tax, compliance, etc.)
- Extraction complexity assessment per domain (effort, risk, dependencies)
- AI-readiness scorecard: how accessible is your logic to AI agents today?
- Prioritized extraction roadmap with ROI estimates
- Executive report: competitive risk if knowledge stays locked in code
How It Works
- Access setup: Secure read-only access to your repository under NDA
- AI-assisted analysis: We use code intelligence tools to identify business rule clusters — decision branches, validation logic, calculation engines, regulatory references
- Domain mapping: Each rule cluster is categorized, measured for complexity, and assessed for extraction feasibility
- Expert review: Your domain experts validate the map and flag undocumented edge cases
- Deliverable: Knowledge Map + extraction roadmap within 2 weeks of access
Who it's for: CTOs and engineering leads at ERP, accounting, payroll, HR, or compliance software companies who need to understand what business knowledge their code actually contains — and how exposed they are to AI disruption.
Request Code Audit →Domain Extraction Sprint
What You Get
- Complete business logic for one domain extracted from your codebase
- Machine-readable UAPF knowledge package (BPMN processes + DMN decision tables)
- Validation test suite: 1,000+ scenarios derived from production data patterns
- MCP server configuration enabling AI agents to consume the knowledge
- ProcessGit repository with version control and change tracking
- Regulatory source mapping: every rule linked to its legal basis
- Edge case library: documented exceptions discovered during extraction
- Knowledge transfer to your engineering team
Extraction Process
Week 1-2: AI-Assisted Code Analysis
- Automated identification of decision branches and calculation logic
- Rule candidate extraction and initial formalization
- Cross-reference with regulatory source documents
Week 3-4: Expert Validation
- Domain experts review each rule for accuracy
- Edge case workshops with senior practitioners
- Resolve discrepancies between code and regulations
Week 5-8: Formalization & Testing
- Package as production-ready UAPF with full test coverage
- Deploy MCP server for AI agent access
- Knowledge transfer sessions with your team
Common Extraction Domains
ERP / Accounting:
- VAT calculation, invoicing rules, chart of accounts logic
Payroll / HR:
- Salary calculation, tax withholding, social contributions, leave management
Compliance / Regulatory:
- Reporting rules, audit trail logic, industry-specific regulations
Who it's for: Software companies that have completed a Code Intelligence Audit and are ready to extract their first domain. Start with your highest-value or most-at-risk domain.
Plan Your Extraction Sprint →Shadow Validation Program
What You Get
- Parallel execution: extracted knowledge runs alongside your live software
- Accuracy report: percentage match across thousands of real transactions
- Discrepancy analysis: every mismatch investigated and documented
- Bug discovery report: errors in your production code revealed by the comparison
- Corrected and hardened UAPF packages (targeting 99.5%+ accuracy)
- Certification-ready documentation for auditors and regulators
How Shadow Validation Works
Every transaction your software processes — payroll calculation, tax filing, invoice generation — the UAPF knowledge package processes independently. Results are compared automatically.
Typical results:
- Week 1-2: 95-97% match rate (common edge cases missing)
- Week 3-4: 98-99% match rate (edge cases resolved)
- Week 5-8: 99.5%+ match rate (production-certified)
Unexpected benefit: Clients typically discover 5-15 bugs in their own production code through this process — discrepancies where the UAPF rules (derived from regulations) are correct and the software is wrong.
Who it's for: Software companies that need production-grade confidence before exposing knowledge packages to AI agents or customers. Essential for regulated domains like payroll and tax.
Start Shadow Validation →Knowledge Maintenance & Evolution
What You Get
- Regulatory monitoring: rule updates within 48 hours of legislative changes
- Continuous sync with your product releases
- Edge case enrichment from production feedback loop
- Quarterly accuracy re-validation against live data
- Version-controlled knowledge packages with full audit trail
- MCP server monitoring, uptime SLAs, and incident response
- Annual knowledge coverage report and expansion recommendations
Why Ongoing Maintenance Matters
Business knowledge isn't static. Tax rates change annually. Labor laws get amended. Your product evolves. Without maintenance, extracted knowledge drifts from reality.
What we monitor:
- Legislative changes in your operating jurisdictions
- Your product's git commits that affect business logic
- Customer-reported edge cases from production usage
- New AI agent integration patterns and protocol updates
Transition support:
As your product evolves toward AI-native architecture, we help you shift from "software with knowledge layer" to "knowledge-first with software interface" — at whatever pace your customers require.
Who it's for: Software companies that have extracted and validated knowledge packages and need them to stay accurate, compliant, and production-ready as regulations and products evolve.
Discuss Maintenance Plans →Is your product's knowledge AI-accessible?
Every business rule locked in code is a liability. Every rule formalized as machine-readable knowledge is a competitive advantage.
Start with a Code Intelligence Audit. In 2-4 weeks, you'll know exactly what knowledge your codebase contains — and what it would take to make it available to AI agents.
Request Code Intelligence Audit →Additional Services
AI Agent Integration
Connect algorithmated processes to AI agents. We help you design safe, governed AI interactions using MCP, function calling, and other integration patterns.
Typical engagement: 2-4 weeks
Learn MoreGovernance Framework Design
Establish operating models, approval workflows, and audit practices. Essential for regulated industries and AI compliance requirements.
Typical engagement: 2-6 weeks
Learn MoreTraining & Enablement
Build internal capability with structured training programs. From BPMN/DMN basics to advanced UAPF engineering and governance.
Typical engagement: 1-2 days
Learn MoreMCP Server Development
Custom MCP servers that connect AI agents to your existing systems — ERP, HR, accounting, document management. Make your infrastructure AI-accessible without replacing it.
Typical engagement: 2-6 weeks
Learn MoreAI Readiness Assessment for Legacy Systems
Technical evaluation of your existing software landscape. Identify which systems can be AI-enhanced in place, which need knowledge extraction, and which should be replaced.
Typical engagement: 1-3 weeks
Learn MoreKnowledge Package Marketplace Setup
For software companies ready to monetize extracted knowledge. We help you package, price, and distribute domain knowledge to AI agent ecosystems.
Typical engagement: 4-8 weeks
Learn MoreReady to start?
Organizations: Begin with a free process assessment.
Software companies: Begin with a Code Intelligence Audit.
Let's find the right starting point.