CXFabric connects the applications, data, people, and AI involved in a business process. Start with one workflow; our team designs,
builds, and deploys the integration in your environment.
01Bring one process02Map systems and rules03Build and deploy
AI WorkerEligibility case prepared
Active
Context retrieved
Policy checked
Decision recorded
Human review readyBounded authority
Automation use cases
Start with work people do by hand.Connect the steps that should happen next.
A useful automation begins with a recognizable job, the systems it crosses, and a clear outcome. These are the kinds of workflows our
team can design, build, and operate with you.
Featured workflow
Refund eligibility with a governed AI Worker.
See the whole job as one visible workflow, from request and transaction context through policy, approval, human review, and evidence.
Gather context from the customer and order systems.
From enterprise AI architectureto the API call that makes it work.
Choose a team to see the kind of operational integration we can design and deliver, with AI, business rules, people, and system actions
connected in one visible workflow.
Governed enterprise actionCustomer-owned runtime
Business request
intent received
Enterprise runtimeAI worker
reason + context
ContextStateToolsAuthority check
policy + approval
Action completed
system of record
Human review
exception path
KnowledgeStateTools
Integration in progress
Turn every recorded meetinginto accountable CRM work.
We are building a Plaud-to-CRM integration that saves transcripts to the correct customer record, measures meeting duration for billing,
and turns commitments in the conversation into follow-ups and assigned tasks.
Preserve the conversation with transcript, summary, speakers, timestamps, and meeting context.
Capture billable time using the actual meeting duration and customer-specific billing rules.
Keep work moving by creating CRM notes, tasks, reminders, and follow-up actions.
Plaud
Transcript + meeting data
Lofty CRM
Customer system of record
CXCXFabric
Match, validate, transform, act
Save transcriptTrack billable timeCreate tasksSchedule follow-up
Real integrationCustomer-specific rulesReusable delivery pattern
Enterprise AI architecture
Define the operating responsibilities.Then turn them into working systems.
For larger AI initiatives, we help teams define runtime, knowledge, authority, system reach, recovery, and evidence, then translate
that architecture into an implementation that can be deployed and operated.
A delivery platformbuilt by integration engineers.
We use CXFabric to make custom integration work visible, reusable, testable, and supportable, without forcing your process into a
generic software template.
Visual orchestration + code
Design the process visually.Extend the exact step that needs code.
Start with readable workflows and packaged connectors, then move into source only where customer-specific logic, API behavior, or data handling demands it.
Model the full workflow with triggers, branches, approvals, retries, and handoffs.
Customize connector behavior without moving the entire implementation into code.
Test with real inputs while preserving controls, logs, and an explainable execution path.
Start with one workflow.Get to a working result quickly.
You do not need a transformation program to begin. Show us one process, the systems it crosses, and what a successful outcome should
look like. We will turn it into a scoped delivery path.
One real process A clear scope One accountable team
01
Show us the workflow
Walk through the manual steps, systems, rules, exceptions, and the outcome that matters.
02
Map the delivery
We define the integrations, data, controls, deployment boundary, scope, and definition of done.
03
Build, deploy, and support
We implement and validate the workflow, deploy it in the agreed environment, then hand it over or continue operating it.
Bring us one real process
Tell us what happens today.We will show you what to automate next.
Share the systems involved, the manual steps, and the result you need. We will review the workflow and recommend a practical first
implementation.