Ember theme
Service

Cross-Platform Workflows.

Break down data silos. We architect deep, resilient API integrations that allow data to flow seamlessly between your disparate SaaS platforms without human intervention.

INTEGRATION ARCHITECTURE
01

Beyond Generic Connectors

Generic no-code connectors suit simple mappings. We write custom middleware where branching, rate-limit handling, error recovery or context make that insufficient.
02

CRM ↔ ERP Synchronization

When a deal closes in Salesforce, automatically generate the invoice in NetSuite, provision the software license, and notify the Customer Success team in Slack.
03

Automated Hand-offs

Smooth transitions between departments. Let AI translate sales notes into highly technical implementation tickets for engineering in Jira.
04

Webhook Orchestration

Real-time event listening lets your whole software stack respond to user actions in seconds rather than on a nightly batch.
ANALYSIS

How AI Orchestrates Workflows Across Disconnected Platforms

Enterprise software stacks are fragmented by design. Your CRM doesn't speak to your project management tool, your accounting platform can't read your helpdesk tickets, and your HR system exists in an entirely separate universe. Most organisations bridge these gaps with no-code connectors, which are good at what they are for — fixed, well-defined mappings between two systems — and struggle when payloads change shape, branching gets deep, or a step needs judgement. AI workflow automation demands a fundamentally different architecture: one engineered for resilience, intelligence, and sovereign control over your data flow.

Our cross-platform integration approach deploys custom middleware powered by large language models that understand context, not just data mappings. When a deal closes in Salesforce, a simple connector might push the deal amount to a spreadsheet. Our enterprise workflow orchestration engine reads the deal context — contract terms, line items, billing schedule, implementation requirements — and executes a cascade of intelligent actions across your entire stack. It generates the invoice in NetSuite with correct revenue recognition codes, creates a structured implementation project in Jira with templated epics and stories pre-assigned to the right engineering team, provisions the customer's SaaS licenses, and posts a contextual summary to the appropriate Slack channel — within seconds, with approval gates wherever you want one.

What separates our tool integration automation from conventional iPaaS solutions is adaptive error handling and API-less automation capabilities. APIs break. Endpoints change. Rate limits throttle. Legacy systems offer no API at all. Our orchestration layer handles all of this autonomously. When an API returns an unexpected payload, the AI interprets the error, applies corrective logic, and retries with adjusted parameters — or escalates intelligently to a human operator with a precise diagnosis of the failure. For platforms without APIs, and where the platform's terms of service permit it, we deploy browser automation agents that interact with web interfaces the way a person would, reading and entering data through the UI. This means even your legacy internal tools, custom-built admin panels, and SaaS platforms with locked-down integrations can be woven into a unified, automated workflow.

The result is an operational nervous system where data flows bidirectionally across Slack, Jira, Salesforce, HubSpot, Google Workspace, and any custom internal tool — without the fragility of point-to-point connectors. Every workflow is observable, logged and auditable. Failures either self-heal or escalate with a diagnosis — they do not vanish. Your team stops being the connective tissue between your software and starts focusing on the strategic work that actually moves your business forward.

HOW IT DEPLOYS
PHASE 01

Map the stack

We chart every platform, API, webhook and legacy tool in your ecosystem, identifying the data silos and manual hand-offs to eliminate.

PHASE 02

Build middleware

Custom LLM-powered orchestration is deployed with branching logic, rate-limit handling, adaptive error recovery and browser agents for API-less systems.

PHASE 03

Observe & harden

Every workflow runs observable, logged and auditable — failures self-heal or escalate with a precise diagnosis while coverage expands.

DESIGN TARGETS
100+
PLATFORMS CONNECTABLE
0
HUMAN COPY-PASTE STEPS
100%
WORKFLOWS AUDITABLE
0
STEPS WITHOUT AN AUDIT RECORD

Properties we design and build to, not measured client outcomes.

QUESTIONS
QUESTIONS — 6

Virtually any platform with an API — Salesforce, HubSpot, Jira, Slack, Google Workspace, Microsoft 365, NetSuite, Stripe, Shopify, and hundreds more. For platforms without APIs, we deploy browser automation agents that interact directly with web interfaces, enabling integration with legacy systems, custom admin panels, and locked-down SaaS tools.

It solves a different problem. Tools like Zapier and Make are strong at declarative mappings between platforms and have branching, retries and error handling of their own; if your workflow fits that shape, use them — they are cheaper and faster to change. We build custom middleware where the input is unstructured, the branching is deep, a step needs judgement about context, or the workflow spans a platform with no usable API. Often the answer is both: the no-code tool where it fits, custom orchestration where it does not.

Our middleware layer includes adaptive error handling that detects unexpected API responses, interprets the nature of the change, and applies corrective logic automatically. If a payload structure shifts, the AI re-maps fields dynamically. If an endpoint is deprecated, the system routes through alternative endpoints or escalates with a precise diagnostic report for your team.

Yes. For internal tools with REST or GraphQL APIs, we connect directly. For tools without programmatic access, we deploy headless browser agents that navigate the UI, extract data and perform actions the way an operator would — where the platform's terms of service permit it. That check is part of scoping, not an afterthought.

A first production workflow typically ships in two to four weeks: one week to map your stack and data flows, one to two weeks to build and test the middleware, and a final hardening pass with live traffic under observation. Additional workflows reuse the same orchestration layer, so each subsequent automation deploys faster.

Yes. All data moves over encrypted connections using scoped OAuth tokens or API keys stored in a secrets vault, and retention is configured to your own data-protection policy. Every transaction is logged and auditable, and the middleware can run inside your own cloud environment for full data sovereignty.

Keep reading
30-minute technical call · no deck

Unify your
software stack.

Stop paying people to copy-paste data between applications. We build the connective tissue instead.

CASE STUDIES

Shipped work.
Go and check it.

The work we can name, with the live site, our scope and the boundary made explicit. Select a project to see the evidence; each is a full case study, not a logo or a claim.

sonora.com
The Sonora homepage on desktop: a full-bleed dune landscape behind the headline “Transform Your Life with Sound”, with App Store and Google Play download buttons.
sonora.com — homepage, 1440×900 sonora.com →
Live Consumer wellness · Mobile + web

Sonora

Cognitive AI Ltd · 2026

A free sound-wellness app, described by its publisher as AI sound therapy that reads a short vocal sample at the start of a session and generates a soundscape for that moment. We designed and built the website and its backend, produced assets for the iOS and Android apps, and supported the application prototype.

Read the case study →

See every published project →

WHO WE HAVE BUILT FOR

Twenty-one years of applications, platforms and campaigns for names you know.

See all of our work →