AI systems and operational platforms for real execution
We build the infrastructure behind modern business operations: ERP/CRM environments, operational AI, automation ecosystems, analytics layers, mobile execution and SaaS platforms.
Entry points into a stronger operating system
Start with the highest-leverage part of the system: operational audit, ERP/CRM architecture, workflow automation, analytics, AI agents or custom platform build.
Operational Systems Audit
Map workflows, data, tools, bottlenecks and AI opportunities before building the operating layer.
ERP / CRM Architecture Sprint
Design the operational environment for leads, customers, tasks, roles, statuses and dashboards.
Automation Ecosystem Sprint
Connect the tools and events that move work between teams, systems, notifications and reports.
Operational Analytics Layer
Create the KPI, data and dashboard infrastructure that turns execution into management visibility.
AI Agent Implementation
Deploy a controlled AI assistant connected to approved knowledge, business tools and escalation paths.
Custom System Build
Build the operational platform when the business process needs custom product, mobile or SaaS surfaces.
Core systems we build
Each capability can launch as a focused implementation or become part of a larger AI operational platform.
AI Systems
We build AI systems that operate inside real business processes, not isolated demos. Approved knowledge, CRM context, reporting data, escalation logic and workflow rules are connected into an auditable environment that supports sales, support, operations and management decisions.
Operational impact
- AI supports measurable workflows instead of disconnected experiments
- Teams get faster decisions without losing operational control
- Knowledge, data and actions become traceable across the system
System components
- AI use-case architecture and policy design
- RAG over approved company knowledge
- AI agents for sales, support, documents and reporting
- Human approval and escalation paths
- CRM, ERP, messenger and analytics context
- Prompt, evaluation and monitoring setup
- Audit-friendly action logging
- Safe rollout from assistant to workflow automation
Ideal for
Execution examples
- Classify incoming requests and recommend the next action
- Answer from approved knowledge with escalation rules
- Summarize documents and extract structured fields
- Prepare operational summaries from live business data
- Draft follow-ups and route them for human approval
- Trigger workflows when AI confidence and policy allow it
ERP / CRM Platforms
We design and build ERP/CRM platforms around the way work actually moves: leads, customers, tasks, orders, schedules, stock, finance, roles, permissions and reporting. The result is an operational environment your team can run every day.
Operational impact
- Client and operational data live in one source of truth
- Teams understand ownership, status and next steps
- Management sees execution without manual report rebuilding
System components
- Sales pipeline and customer operations architecture
- ERP modules for orders, stock, appointments or service delivery
- Roles, permissions, statuses and operational views
- Migration from spreadsheets or legacy systems
- Task, reminder, approval and owner follow-up logic
- Customer, manager and admin interfaces
- Analytics, reporting and operational dashboards
- Launch documentation and team onboarding
Ideal for
Execution examples
- Route every lead to an owner with the next action
- Connect order status, warehouse movement and customer messaging
- Show management workload, revenue and conversion from one source
- Control appointments, staff schedules, inventory and finance
- Add approvals and escalation rules to operational workflows
- Prepare the platform for AI and automation modules
Automation Ecosystems
We turn repeatable work into reliable operational flows. Requests, status changes, payments, documents, reminders, alerts and reports move through the business automatically, with logs and human checkpoints where the process requires control.
Operational impact
- Routine actions happen on time without memory-based follow-up
- Exceptions surface earlier with owner visibility
- Manual copying is replaced by controlled system events
System components
- Workflow audit and automation map
- API, webhook and event architecture
- CRM, ERP, messenger, payment and email connections
- Task creation, reminders and escalation rules
- Document generation and approval flows
- Order, route, stock and delivery status automation
- Operational logs, retries and monitoring
- Recurring management reports and alerts
Ideal for
Execution examples
- Create a CRM deal from a form, messenger or email request
- Notify the right owner when payment or order status changes
- Generate documents from approved templates
- Escalate overdue tasks before they damage the process
- Synchronize stock, route or appointment events
- Send weekly operational summaries automatically
Mobile Applications
We build mobile surfaces where the business happens outside the office: customer ordering, subscriptions, courier execution, proof capture, field operations, notifications, profiles and support. Mobile apps are designed as part of the operating system, not as detached screens.
Operational impact
- Operational work outside the office stays connected to the system
- Customers and operators act from the same business state
- Execution data becomes visible immediately, not after manual updates
System components
- Customer iOS app workflows
- Courier and field execution apps
- Push notifications and status updates
- Route, stop, proof and return capture
- Account, order, subscription and support flows
- Offline-tolerant state where required
- Backend API and admin synchronization
- Release, monitoring and iteration support
Ideal for
Execution examples
- Courier receives route, stop details and operational notes
- Customer manages orders, subscriptions and support in one app
- Proof photos and returns update the admin system immediately
- Push notifications reflect real order or route status
- Field execution feeds analytics and operational control
- Mobile actions trigger warehouse, billing or support workflows
Operational Analytics Infrastructure
We connect CRM, ERP, marketing, finance and operational systems into a reliable analytics layer. Raw events become modeled metrics, semantic dashboards and AI-readable context that leadership can use to understand what is happening and where action is needed.
Operational impact
- Leadership works from one source of operational truth
- Reports update automatically instead of being rebuilt by hand
- Data becomes strong enough for AI recommendations and action flows
System components
- Operational data model and KPI taxonomy
- Reporting database or warehouse layers
- CRM, ERP, finance, ads and website integrations
- Semantic metrics for dashboards and AI
- Sales, workload, revenue and profitability views
- Data quality checks and refresh schedules
- Management dashboards and owner control rooms
- Forecasting, trend and exception reporting
Ideal for
Execution examples
- Unify leads, deals, orders, revenue and workload in one dashboard
- Compare channels by qualified pipeline and revenue
- Alert leadership when a KPI moves outside expected range
- Prepare AI-readable summaries from operational data
- Replace weekly spreadsheet reporting with scheduled refreshes
- Connect unit economics to daily execution data
AI Execution Systems
We build execution environments where AI does not stop at an answer. Insights become recommendations, recommendations become assigned actions, and actions connect back to metrics, owners, approvals and operational memory.
Operational impact
- AI becomes part of the execution rhythm, not a side tool
- Leadership sees whether recommendations turned into action
- Operational memory improves with each workflow and decision
System components
- Data to insight to action architecture
- Recommendation and approval workflows
- Owner assignment and task follow-through
- AI agents connected to operational tools
- Execution dashboards and status memory
- Meeting, KPI and decision context
- Feedback loops from outcome back to AI context
- Pilot rollout for leadership and operations teams
Ideal for
Execution examples
- AI identifies a bottleneck and creates the follow-up workflow
- KPI movement triggers recommendation, owner and due date
- Meeting decisions become tasks with context and reminders
- AI analyst answers from semantic metrics and company memory
- Managers see which recommendations were executed and what changed
- Human approvals control sensitive or customer-facing actions
SaaS Platforms
We build SaaS and platform environments with the same discipline we apply to Planerix, WODAO and CRM Beauty: tenant models, product surfaces, backend APIs, analytics, AI modules, deployment gates, observability and iteration after launch.
Operational impact
- The product starts as infrastructure, not only a clickable interface
- Core workflows are usable, measurable and ready for iteration
- Architecture can grow from first release to operational platform
System components
- Product architecture and MVP scope
- Multi-tenant or role-based domain model
- Web app, admin panel and customer portal
- Backend API, integrations and permissions
- AI, analytics and automation modules
- Mobile app extension where operations require it
- Production deployment, monitoring and release path
- Post-launch iteration based on real usage
Ideal for
Execution examples
- Launch an MVP with a real data model and admin environment
- Turn an operational workflow into a repeatable SaaS product
- Connect billing, permissions, analytics and customer operations
- Add AI modules after the core workflow is stable
- Prepare a platform for pilots, demos and staged rollout
- Ship with monitoring, deployment gates and maintainable architecture
Production stack for systems that combine product, operations, data and AI
We choose technology around the business workflow, then build with the same production habits used in Planerix, WODAO and CRM Beauty: clean data models, reliable APIs, usable admin panels, automation logs, deployment gates and room to scale.
SaaS, admin panels and portals
Customer and field apps
Agents, dashboards and data layers
Product & Web
Fast, maintainable interfaces for SaaS platforms, admin panels, portals, dashboards and landing funnels.
Backend & APIs
Business logic, domain models, integrations, permissions and operational APIs that can support real teams.
Data, BI & AI
Reporting layers, semantic models and AI assistants grounded in approved business context.
Automation & Integrations
Event-driven workflows across CRM, messengers, email, payments, forms, spreadsheets and internal systems.
Mobile & Field Operations
Mobile workflows for customers, couriers, operators and teams that need the system outside the office.
Production & Security
Deployment, observability, backups and access control for systems that must run beyond the first demo.
Tools and platforms we work with
From frontend and backend foundations to AI, automation, payments, communication channels and observability.
