Vertical AI for work that spans systems

One journey. Multiple systems. One experience.

ascentX builds vertical AI solutions for high-value operational journeys.

Start from a template, connect the systems behind the work, and give teams one place to understand what is happening, decide what to do, and take action.

How It Works

From broken journey to AI-ready execution.

Start with work that gets stuck across systems. The platform turns it into a unified workspace with embedded AI, then exposes the same context to agents when the business is ready.

Broken journey to AI-ready execution: AI Journey Builder, unified workspace, embedded AI and AI agents

Expansion Vision

Vertical AI, starting with fintech.

We start in fintech because the work is urgent, repeatable and easy to define: KYC, disputes, restrictions and onboarding exceptions. Each use case becomes a packaged solution with the process, data model, workspace and AI support already understood. From there, the same models expands to B2B, insurance, healthcare and more.

Connected Systems

The journey spans systems. We connect them.

Keep the source systems. Bring CRM records, cases, documents, messages, approvals and transaction context into one operating view for the team doing the work.

Salesforce ServiceNow Oracle Stripe Microsoft Zendesk HubSpot SAP

The Market

Enterprise software was built around functions. Businesses run on processes.

Each tool owns a piece. The team still owns the outcome. That is why work slows down, customers wait and AI has too little context to help.

01

The customer gets stuck.

Status, evidence and next steps live in different apps.

02

The team rebuilds the story.

Operators piece together the story before they can act.

03

AI needs the full context.

AI needs blockers, rules and allowed actions.

60%

of knowledge worker time is spent on work about work

Asana Anatomy of Work

25%

of team time is spent searching for answers

Atlassian State of Teams 2025

95%

of IT leaders struggle to integrate data across systems

MuleSoft Connectivity Benchmark

29%

of enterprise applications are connected on average

MuleSoft Connectivity Benchmark

The problem is not missing software. It is important work spread across systems that were never designed to run the full journey.

Use Cases

Start where delay creates risk.

Fintech is the first wedge: urgent, repeatable work with clear evidence, owners, deadlines and actions. These are the first packaged solutions.

Dispute resolution

triggerDeadline approaching while evidence is spread out.

systemsTransactions, cases, evidence, customer messages, ledger.

viewContext, checklist, deadline, owner, impact and outcome.

actionSubmit evidence, escalate or write back outcome.

Account restrictions

triggerCustomer cannot transact.

systemsCore banking, risk, cases, CRM, compliance notes.

viewReason, evidence, owner and release criteria.

actionEscalate, request evidence or approve release.

Onboarding exceptions

triggerNew customer is stuck before activation.

systemsCRM, onboarding, KYC, documents, product system.

viewVerification state, missing documents, owner and blocker.

actionRequest documents, approve or activate.

Operating View

What teams get day to day.

The process visual shows the flow. This is what the generated view gives operators when the work is live.

01

Live status. Current stage, owner, SLA and blocker.

02

Evidence. Documents, messages, risk flags and transaction context.

03

Next action. The approved request, approval, escalation or writeback.

04

AI support. Summaries and recommendations based on the unified journey.

Connects to Your Stack

ascentX connecting to SAP, Salesforce, Oracle, Microsoft 365, Snowflake, Databricks, AWS, Power BI, Slack, Google, Workday and ServiceNow

Connect the tools behind the work without replacing them.

Execution

One view to move the work forward.

Teams see what is blocked, what changed, what evidence is missing and what should happen next.

ascentX workspace for executing a cross-system customer process with AI context

Embedded AI

AI works because the journey is unified first.

Once the journey is understood, AI can work from business context instead of raw tables. It explains what happened, finds the blocker and suggests the next step.

01

Explain the journey

Summarize what happened across systems, cases, documents and messages.

02

Find the blocker

Show what is missing, who owns it and what decision is needed.

03

Recommend the next step

Suggest approved actions: request, escalate, approve or write back.

Agent Context Layer

Agents are optional. The context is the asset.

Teams use the workspace first. The same modeled context can later power agents through MCP, with clear boundaries for what agents can see and do.

Start with teams. Give operators the full journey view.

Expose later. Let agents use the same context when the business is ready.

Keep control. Actions stay inside permissions and audit trails.

Context

Complete journey state

Stage, status, blockers, owners and events.

Reasoning

Answers teams can use

Answers from live journey context, not raw tables.

Action

Approved next steps

Actions stay inside permissions and audit trails.

Why AscentX Wins

Vertical AI for work that spans systems.

The product is Vertical AI: templates, connected data, operating views, embedded AI and approved actions in one product. Every journey makes the model stronger.

Templates

  • KYC, disputes and restrictionsFintech wedge
  • Built-in structureStages, evidence, blockers, owners and actions
  • Repeatable modelsReusable operating patterns

Works with current systems

  • No rip-and-replaceConnect existing tools
  • Source data stays putRead, summarize and write back
  • Operating viewTeams resolve work from one place

AI can help safely

  • ReflectionsEmbedded AI support
  • MCPOptional agent context
  • Safe actionsApproved writebacks