API Workflows

Build the process visually. Publish it as an API.

Remove the microservice friction between an application and the systems it depends on. Connect data, business rules, governance, caching, and AI in one visual workflow—then expose it through a reusable endpoint.

See the request flow

Visual compositionBuilt-in cachingGoverned executionAI-ready

Application requestPOST /orders/prepareAuthenticated payload

Dynomo API WorkflowLive

01ValidateContract + policy

02RetrieveCRM + commerce

03TransformCanonical model

04AI stepApproved provider

Reusable response200 · Governed JSONReady for any consumer

Built-in cacheReuse approved results

HIT

A service layer without another service project

Keep the capability. Lose the maintenance burden.

API Workflows give teams the coordination layer they normally build as custom middleware—without creating another repository, deployment pipeline, and operational dependency.

Remove service glue

Replace one-off orchestration services with visual workflows that remain understandable after the original developer moves on.

One contract, many systems

Give applications one stable endpoint while Dynomo coordinates the connectors, transformations, policies, and failures behind it.

Cache repeat work

Return frequently requested results without invoking every downstream system and expensive processing step again.

Introduce AI deliberately

Add classification, extraction, generation, or decision support as controlled steps inside a wider business process.

From request to response

Everything the endpoint needs, inside one governed flow.

Receive

Accept a request from an application, team, or AI agent.

Protect

Apply authentication, validation, access context, and policy.

Compose

Read and write across connected systems through reusable actions.

Reason

Introduce an approved AI model where interpretation adds value.

Return

Shape one stable response contract for every consuming experience.

One endpoint, a complete business outcome

Build around the question the consumer asks—not the systems behind it.

An application should not need to understand which platform owns a field or how many calls are required. Dynomo handles the multi-system process behind a clean API contract.

POST/experience/personalise

Request context

Customer ID · Intent · Channel · Market

01Profile

02CDP

03Product data

04AI

Returned outcome

Shape every response around the person asking

A governed response assembled from the customer's profile, current intent, eligible products, and the brand's approved language rules.

Version-controlled by design

The ecosystem can scale. The API Workflow can evolve with it.

API Workflows are version-controlled so teams can improve logic, connectors, policy, and AI steps without turning every change into an uncontrolled release. Keep the active version clear while the next version is reviewed and prepared.

Track workflow changes as the process evolves
Keep approved releases distinct from work in progress
Coordinate API and workflow change intentionally
Preserve an understandable history of the capability

v1.4Production workflowLive

Stable contract · Approved policy · Current connectors

v1.5Personalisation updateReview

New profile context · Updated cache path · Test results

v1.6AI enrichment stepDraft

Approved provider · Output validation · Policy review

Caching is part of the architecture

Do not repeat expensive work when the answer is already known.

Built-in caching can return repeat responses without calling every source system or rerunning each transformation and AI step. That reduces downstream load and keeps high-demand experiences responsive.

Keep cache behaviour alongside the workflow it protects
Reduce repeat calls into slower or rate-limited systems
Avoid unnecessary AI processing for equivalent requests
Preserve the same policy boundary around cached responses

Requestproduct/1842?market=nl

Cache lookupApproved response available?

HITReturn immediatelyGoverned cached response

MISSRun workflowConnect · transform · AI · store

Replace friction, not engineering judgement

Use code for differentiation. Not integration plumbing.

Traditional microservice

Every process becomes a software project

Design and maintain service-specific integration code
Create infrastructure, environments, and deployment pipelines
Rebuild authentication, caching, retries, and observability
Keep business logic understandable through code and documentation
Coordinate releases whenever a connected contract changes

Dynomo API Workflow

The process becomes a reusable platform capability

Compose approved connectors and actions visually
Publish a stable endpoint without a new service deployment
Use shared platform controls for policy, caching, and operations
Keep the business process visible to technical and process teams
Version and improve the workflow behind its API contract

For connected systems, teams can build without custom service code. When a specialised system needs new behaviour, the connector SDK provides a deliberate extension point instead of scattering bespoke logic across applications.

AI inside a controlled process

Bring AI to the workflow—without handing it the architecture.

Use AI for the step where it helps: classify a request, extract meaning, enrich a record, generate a response, or recommend an action. Dynomo keeps the surrounding systems, policy, validation, and output contract explicit.

01Choose the approved AI connector

02Control the exact context it receives

03Validate or review the generated output

04Trace the complete workflow outcome

Start with one service boundary

Bring us the microservice you would rather not build.

We will map the request, the connected systems, the policy boundary, caching opportunities, and the response contract—then identify the smallest useful API Workflow to prove.

Explore integration workflows