Discovery & Architecture
Best when the business problem is known but the system scope, modules, users, data flow, integrations or architecture still need definition.
- CRM / ERP planning
- workflow mapping
- module definition
- API & data architecture
ENIGMA works across custom CRM, ERP, HRMS, inventory, franchise systems, mobile applications, AI automation, backend APIs, dashboards and cloud/server infrastructure. Because these projects vary in scope and risk, we use different engagement models depending on how clearly the problem is defined, how quickly the system must evolve and how much long-term engineering ownership is required.
How ENIGMA works with clients
Discovery & Architecture: for unclear workflows, multi-module systems, ERP/CRM planning, integrations and platform redesign.
Fixed-Scope Delivery: for defined modules, portals, dashboards, mobile apps, APIs and system components with clear acceptance criteria.
Dedicated Engineering: for ongoing CRM/ERP evolution, mobile products, AI automation, integrations and long-term platform development.
AI Pilot: for RAG, private knowledge AI, agents, document automation, WhatsApp AI, voice AI and internal workflow validation.
Infrastructure & Support: for EWS hosting, servers, deployment, reverse proxy, SSL, monitoring, backups and post-launch evolution.
These models are designed around the type of work ENIGMA actually does—from business systems and mobile products to AI and infrastructure.
Best when the business problem is known but the system scope, modules, users, data flow, integrations or architecture still need definition.
Best for a clearly defined module or product where scope, milestones and acceptance criteria can be agreed before development.
Best for businesses that need continuous product development, module expansion, integrations or a long-term engineering partner.
Best for validating a practical AI use case before committing to a larger rollout or deeper integration.
Best when applications need better hosting, deployment, security, observability, reverse proxy, backup or server architecture.
Best for existing systems that need controlled improvements, production support, infrastructure checks and gradual feature evolution.
A solar CRM, agritech ERP ecosystem, franchise billing platform, customer mobile app, AI agent and cloud migration do not have the same delivery risk. We choose the model after understanding the business system and how much discovery, integration, iteration and ongoing ownership it needs.
Helium Solar CRM, NKOSH CRM, lead workflows, calling, quotation and operational dashboards.
NKOSH billing, stock, rack, products, orders, customers, delivery partners and franchise operations.
Farmer, customer, advocate and operational mobile journeys connected with backend systems.
AI agents, RAG, private AI, workflow automation, document intelligence and business assistants.
EWS hosting, Linux/Windows servers, deployment, reverse proxy, SSL, monitoring and backups.
A good engagement model reduces delivery risk and keeps scope, ownership and decision-making clear.
If workflows and modules are still unclear, start with discovery. If scope is defined, fixed delivery can work.
If the system runs daily operations, continuity, support and monitoring should be planned early.
AI, integrations, real-time systems and infrastructure work may need a pilot or architecture phase first.
If new modules and integrations will continue, dedicated engineering usually fits better than one-off delivery.
Legacy code, old servers or fragmented systems may need modernization before feature expansion.
The model should reflect whether your team needs external execution, architecture support or long-term ownership.
Every model follows the same business-first foundation even when the commercial structure or delivery cadence changes.
Business goal, users, current process, systems, data and constraints.
Choose the engagement model based on clarity, risk and roadmap.
Define scope, milestones, ownership, reviews, communication and acceptance criteria.
Engineer, integrate, test, review and deploy the agreed system or module.
Support production, monitor systems, fix issues and evolve the platform where needed.
Every model follows ENIGMA's core approach: understand the business, design the system, engineer carefully and keep delivery visible.
Workflow, users, roles, bottlenecks and expected outcome are mapped before implementation.
Modules, APIs, data flow, integration boundaries and deployment needs are considered early.
Progress, review points, scope decisions, risks and blockers remain visible throughout the engagement.
The focus stays on maintainable, secure and production-ready implementation.
Servers, hosting, reverse proxy, SSL, monitoring and backups are considered when relevant.
Access, deployment context, documentation and next-step recommendations are planned where needed.
ENIGMA works through discovery and architecture, fixed-scope delivery, dedicated engineering, AI pilots, infrastructure modernization, and support and evolution models.
Discovery is useful when the business problem is understood but workflows, modules, users, data, integrations or technical architecture still need definition.
Yes. Fixed-scope delivery is suitable when modules, deliverables, timeline and acceptance criteria can be clearly defined before development begins.
Yes. Dedicated engineering is designed for ongoing CRM, ERP, mobile, API, AI, platform and integration work that evolves over time.
Yes. AI pilots can validate AI agents, RAG, private knowledge systems, workflow automation, document processing and internal assistants before broader implementation.
Yes. Infrastructure modernization can cover EWS hosting, Linux or Windows servers, deployment, reverse proxy, SSL, monitoring, backups, hardening and recovery readiness.
Yes. Support can include production fixes, small enhancements, deployment support, monitoring, infrastructure checks and controlled system evolution.
ENIGMA evaluates the business goal, scope clarity, technical risk, system dependency, roadmap, existing environment and internal team capacity before recommending a model.
We can review your workflow, current system, users, integrations, infrastructure and roadmap, then recommend the most practical way to work together.