SYSTEM INTEGRATION

CRM and ERP automation that removes manual handoffs

Connect CRM, ERP, databases, email, APIs, and internal applications so employees no longer have to act as middleware.

See client work
01

AI interprets.

02

Software controls.

03

People own consequential decisions.

WHO THIS IS FOR

Employees should not function as middleware

Repeated copying is often a sign that the systems work individually but the operational connection between them is missing.

  • CRM → spreadsheet
  • Email → CRM
  • CRM → ERP
  • Supplier portal → internal system
  • Document → ERP
  • Database → report
  • ERP → customer notification

SCOPE

Reliable integration is deterministic work

When a workflow moves or writes business data, conventional software owns the control path.

Access and transport

Authentication, authorization, API calls, webhooks, rate limits, and connection behavior.

Data control

Mappings, transformations, required fields, schema validation, and business constraints.

Safe execution

Workflow state, retries, duplicate protection, database writes, partial success, and error handling.

WORKFLOW

AI may interpret the input; software performs the integration

AI is introduced only when the incoming information cannot be handled reliably as structured data.

  1. 01

    Incoming email

  2. 02

    Request classified

  3. 03

    Customer information extracted

  4. 04

    Customer validated

  5. 05

    CRM created or updated

  6. 06

    Deterministic workflow continues

The model does not authenticate, decide permissions, perform the write, or own retry behavior.

RESPONSIBILITY BOUNDARIES

AI interprets. Software controls.

Models handle ambiguous inputs; human review is placed where judgment, responsibility, or uncertainty matters.

AI may prepare
  • Request classification
  • Unstructured field extraction
  • Entity matching suggestions
  • Uncertainty for review
Integration software controls
  • Authentication and permissions
  • Mappings and transformations
  • Validation and state
  • Rate limits, retries, and duplicates
  • Database and system writes

FAILURE CONTROL

Retry strategy must match the operation

Repeating a read is different from repeating a financial or operational write. Recovery is designed per action.

01

Access and capacity

Handle expired authentication, rate limits, unavailable downstream systems, and scheduled maintenance visibly.

02

Data contract changes

Detect missing fields, invalid values, schema changes, and mapping failures before corrupting downstream records.

03

Partial and duplicate execution

Track state, identifiers, completed actions, and safe compensation or manual recovery when only part succeeds.

PRACTICAL DETAIL

Common integration responsibilities

API integration is preferred when reliable interfaces exist. UI automation is considered only when the available interfaces and risks justify it.

  • Authentication
  • API calls
  • Mappings
  • Transformations
  • Validation
  • Permissions
  • State
  • Retries
  • Rate limiting
  • Duplicate protection
  • Writes
  • Error handling

HOW WE WORK

From review to managed operation

The exact deliverables are agreed in scope before implementation.

01. Workflow review

Map the current work, systems, manual effort, exceptions, and a useful success measure.

02. Solution design

Define integrations, data flow, model responsibility, deterministic controls, review points, and failure paths.

03. Implementation

Build the scoped workflow, integrations, validation, tests, and operating behavior.

04. Production deployment

Deploy with the agreed permissions, infrastructure, observability, documentation, and acceptance checks.

05. Managed operation

Monitor, investigate, maintain, and prioritize improvements as dependencies and business needs change.

SCOPE AND COST

What affects integration cost?

The largest variables are access quality, data contracts, write risk, and recovery requirements.

  • API availability and quality
  • Authentication model
  • Number of systems
  • Data mappings
  • Write permissions
  • Rate limits and volume
  • Partial-failure handling
  • Monitoring and ownership

OWNERSHIP

Ownership and handoff

Possible deliverables depend on the engagement. The ownership and deployment model is agreed before implementation begins.

  • Source code or workflow definitions
  • Environment and integration documentation
  • Configuration and deployment notes
  • Known exception and operating behavior

CLIENT WORK

Bring supplier information into the commercial workflow

The useful solution for the reseller was not another dashboard to check. It was bringing supplier availability, pricing, margin, and risk information into the workflow where commercial review already happened.

Read the supplier-integration case

FAQ

Practical questions before you start

Can you integrate systems without native integrations?

Potentially. We assess APIs, webhooks, database access, file exchange, supported automation interfaces, and the operational risk before choosing an approach.

Do you use Zapier, Make, or n8n?

Low-code platforms can be appropriate depending on workflow requirements. Custom software is used when reliability, complexity, scale, or maintainability justify it. The architecture follows the problem.

Do we need to replace our CRM?

Usually no. The purpose is to improve the workflow around existing systems, subject to their access and integration capabilities.

Can the integration write data back?

Potentially. Write access is designed around permissions, validation, duplicate protection, approval boundaries, and recovery behavior.

NEXT STEP

Review the handoff between two systems.

Show us what is copied today, where it comes from, where it must go, and what must be checked before the write.