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Software integration

Connect the systems. Keep the work accountable.

Werkon connects business systems by treating every handoff as product behavior. Record meaning, identity, timing, delivery, side effects, exceptions, reconciliation, change, and support are defined before a connector replaces the manual work around it.

Integration contract

Map the work around the connection, not only the endpoints.

The contract starts with the operational handoff people are completing today. It then joins system and record ownership, identity, meaning, timing, delivery, side effects, exceptions, controls, change, recovery, and the teams responsible across the boundary. See custom application development when the workflow also needs an interface, or AI integration when uncertain model output enters the handoff.

Inputs

Work and current handoff
Trigger, actor, purpose, source, destination, decisions, approvals, duplicate entry, files, spreadsheets, inboxes, reports, status chasing, corrections, exceptions, service windows, volumes, delays, failure cost, and the manual continuity path.
Systems and authority
Applications, environments, owners, users, tenants, roles, service identities, interfaces, supported access, credentials, licenses, rate and volume limits, authoritative records, identifiers, state transitions, and consumers that must remain stable.
Data and delivery semantics
Field meaning, types, required values, provenance, sensitivity, retention, residency, validation, transformation, freshness, ordering, correlation, idempotency, schedules, acknowledgements, retries, duplicates, late data, and deletion or correction rules.
Operation and change
Availability, latency, capacity, observability, support, incident history, reconciliation, backup and restore, releases, versioning, deprecation, test environments, provider changes, manual fallback, maintenance windows, and accountable owners.

Outputs

Boundary and responsibility map
A traceable view of the operational handoff, source authority, identities, records, transformations, interfaces, consumers, trust transitions, controls, side effects, failure paths, change dependencies, and owners.
Versioned contract pack
Request, response, event, file, schema, error, authentication, validation, compatibility, timing, retry, duplicate, ordering, rate, timeout, retention, deprecation, and synthetic fixture contracts that both sides can test.
Connected operational slice
One complete handoff from an authorized trigger through validated exchange and an authoritative update to a visible receipt, owned exception, reconciliation record, and usable manual fallback.
Operations and change pack
Health and contract signals, trace and correlation rules, alerts, failure queues, reconciliation views, runbooks, replay and correction policy, recovery exercises, dependency-change tests, support ownership, and handover evidence.

Integration path

Replace one manual handoff without hiding its exceptions.

The first slice keeps the existing continuity path available while the connected path proves meaning, authority, delivery, side effects, failure handling, reconciliation, and ownership with representative records.

  1. 01

    Observe the real handoff

    Follow normal and exceptional work across people and systems, quantify re-entry and delay, identify source records and consumers, capture correction behavior, and distinguish necessary judgment from avoidable coordination.

  2. 02

    Define authority and contracts

    Assign one owner to each committed fact and state, map identity and permission, define identifiers and transformations, specify interface and timing semantics, and record what must happen after every known failure class.

  3. 03

    Prove the observable read path

    Exchange the minimum required data under scoped identity, validate contracts and denied access, preserve provenance and correlation, expose freshness, test supported limits, and route incompatible records without guessing.

  4. 04

    Add controlled side effects

    Recheck current state and authority before change, use stable operation identifiers, make retries safe, record receipts, exercise duplicates and uncertain completion, and reconcile intended results with authoritative records.

  5. 05

    Stage transition and ownership

    Run representative, parallel, or cohort exposure where appropriate, compare the connected and manual paths, measure hidden exception work, test outages and contract changes, then transfer support, recovery, and change responsibility before retiring the old handoff.

Exchange pattern

Choose the pattern from timing, coupling, and recovery needs.

One operation may need more than one exchange pattern. The useful choice is made per handoff by examining response timing, source capability, delivery guarantees, failure isolation, replay, data volume, change ownership, and support burden.

01A caller needs an immediate answer

Direct request-response

Use a supported API directly when the operation is narrow, the caller can wait, the dependency is acceptable, and one team can own authentication, version compatibility, limits, timeouts, retries, and user-visible failure.

Evidence: Published contract, identity and scope, test environment, semantic and error model, rate and timeout behavior, safe retry rule, dependency test, owner, and outage path.

02Consumers can react independently

Event or durable message

Use an event or queue when the producer should not wait, several consumers need the change, traffic is uneven, or downstream failure must be isolated while delivery and processing status remain observable.

Evidence: Event meaning and version, producer and consumer owners, identity, correlation, ordering need, deduplication key, retention, acknowledgement, retry, dead-letter, replay, and reconciliation tests.

03Volume matters more than immediacy

Scheduled batch or managed file

Use a governed batch when the source only supports export, work follows a period close, large sets move efficiently together, or a controlled file contract is simpler and safer than pretending the exchange is real time.

Evidence: Schedule and cutoff, complete and incremental rules, schema and encoding, manifest and checksum, secure transfer, rerun policy, partial-file rejection, late arrival, correction, retention, and close reconciliation.

04Translation and policy need one owner

Dedicated integration service

Use a separate service when orchestration, canonical mapping, policy, observability, vendor isolation, or reuse would otherwise be duplicated, while avoiding a central layer that becomes an unowned bottleneck.

Evidence: Owned responsibility, canonical model, transformation and routing rules, access boundary, trace path, capacity evidence, compatibility suite, independent release, recovery, cost, and exit path.

Boundary controls

Make silent divergence harder than visible failure.

Distributed work can appear successful while records disagree. The connection must expose what was requested, accepted, committed, rejected, delayed, repeated, corrected, and reconciled without leaking sensitive payloads.

One system owns each committed fact
Define authoritative records and states, stable identifiers, allowed writers, read and write direction, transformations, freshness, conflict behavior, corrections, retention, deletion, and the point where authority transfers if it ever does.
Identity and data stay minimal
Carry or derive the right user, service, tenant, purpose, and approval context. Limit credentials, audiences, fields, environments, storage, logs, and retention to the operation, and test denial, expiry, revocation, and cross-tenant isolation.
Delivery uncertainty has a state
Distinguish request, acceptance, processing, commit, and receipt. Use correlation and stable operation identifiers, define safe retries, duplicates, ordering, timeouts, compensation, and manual correction, and never infer success from a lost response.
Contracts and operations change together
Test provider and consumer changes against representative contracts, version intentionally, monitor lag, rejection and reconciliation, alert accountable owners, exercise dependency outages, keep runbooks and fallback usable, and retire old paths deliberately.

Engagement fit

Use software integration when disconnected systems are creating recurring operational work.

Good reason to begin

  • People repeatedly re-enter, export, import, compare, chase, or repair information between systems and the work has identifiable owners and consequences.
  • Source and destination owners, record authority, users, security, data, interface or vendor contacts, support, and the people performing the current handoff can participate.
  • One bounded handoff can be exercised with representative normal, duplicate, late, rejected, missing, and correction cases before wider adoption.
  • The organization is prepared to own credentials, contracts, monitoring, reconciliation, incidents, provider changes, manual continuity, and retirement after release.

Resolve before beginning

  • The underlying process, record owner, identifiers, or allowed state changes are disputed and connecting the systems would only move ambiguity faster.
  • The requested connection depends on unsupported scraping, shared broad credentials, hidden cross-tenant access, prohibited data movement, or an interface the owner will not support.
  • The design assumes every delivery is unique, ordered, immediate, complete, and successful without a safe path for duplicates, delay, partial failure, replay, or reconciliation.
  • No accountable team can operate both the connection and its exceptions, coordinate contract changes, preserve a manual continuity path, and authorize retirement of the old handoff.

Source basis

Sources behind the control model.

  • 01

    OpenAPI Initiative

    OpenAPI Specification Version 3.2.0

    The current published specification defines a language-agnostic description for HTTP APIs so people and software can understand service capabilities and interaction semantics without inspecting implementation code.

  • 02

    RFC Editor

    RFC 9110: HTTP Semantics

    The IETF standard defines HTTP request and response semantics and explains why automatic retry depends on whether an operation is idempotent or the client can otherwise determine that repeating it is safe.

  • 03

    Cloud Native Computing Foundation

    CloudEvents Specification

    The CloudEvents project defines a common way to describe event data across services and platforms. Its current site identifies the compatible 1.0.2 specification release and supporting SDKs.

[ WORKFLOW / SYSTEMS AUDIT ]
THE FIRST ENGAGEMENT

Start with one real workflow

A Systems Audit is the usual starting point. If the opportunity is already clear, we can move directly into a focused build.

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