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The AI+ve Platform

One governed execution layer for the enterprise AI journey.

From process discovery and value design to agent building, integration, controlled execution, evaluation and ROI — AI+ve brings the pieces together in a configurable enterprise platform.

The governed journey
One platform, from opportunity to outcome
01
DiscoverProcess, systems & value mapped
Ready
02
Identify valueAs-Is → To-Be with projected ROI
Designed
03
BuildAgents, workflows & apps
Controlled
04
IntegrateAPIs, SaaS, cloud & MCP
Connected
05
Govern & measureAudit, evaluation & ROI
Visible
Capabilities

Move From Idea to Production Without Rebuilding the Foundation Each Time

Every capability works together as one governed system — so each new use case builds on the last instead of starting over.

🔍

AI-Driven Process Discovery

Ingest process documents, BRDs, notes or discussions and turn them into structured process flows, actors, inputs, decisions and system context.

SIPOC flowsArchitecture maps
📈

As-Is → To-Be Value Design

Compare current and target workflows, identify automation and augmentation opportunities, and define expected outcomes before implementation.

Projected ROICoverage scoring
⚙️

Agent & Application Studio

Build workflows visually or describe them in natural language. Configure branches, approvals, loopbacks, actions and user experiences.

No-codeApp Studio
🔌

Reusable Connector Fabric

Connect REST, OpenAPI, SOAP, scripts, SaaS platforms, cloud services, databases, core banking systems and external MCP tools.

MCP-enabledRBAC per connection
🧠

LLM Factory

Select models by task, cost, latency or compliance need — OpenAI, Anthropic, Bedrock or your own — without rewriting the workflow.

Multi-model routingCost controls
🛡️

Enterprise Controls by Design

Fine-grained RBAC, SSO integration, controlled action libraries, approval gates, human-in-the-loop patterns and full execution history.

RBAC & SSOHITL
📋

CMDB-Backed Orchestration

Workflows operate with awareness of your infrastructure — CIs, relationships, ownership and dependencies.

Impact scopingAuto-routing
📊

Evaluation, Observability & ROI

Evaluate agent outcomes, collect feedback, monitor execution and connect operational performance back to business value measures.

Outcome scoringValue tracking
🗄️

Config-Driven by Design

Workflows, actions, forms and metadata live in configuration — not code — so they can change without a deployment.

No hardcodingChange without redeploy
Product Experience

From Process Discovery to Auditable Execution

These are working AI+ve product screens. Together they show the journey from understanding the process to designing the target state, building the workflow, executing it and retaining evidence of what happened.

Stage 1 · Discover

AI-Driven Process Discovery

Describe a process — or upload documents, a BRD, a voice note or a video walkthrough. AI+ve turns it into a structured process map with actors, systems and value potential.

✓
Upload process docs, BRDs, voice notes or video — AI extracts the process automatically
✓
Generates SIPOC-structured process flows with actors, inputs, outputs and decisions
✓
Maps the system landscape directly from the process definition
✓
Centralised, searchable process repository across the organisation
✓
Value measures captured upfront: revenue, spend, projected ROI and timeframe
AI+ve New Discovery Process screen — Enterprise AI Agents Framework

Live product screen — starting a discovery session in AI+ve.

Stage 2 · Identify Value

See Exactly What Changes Before You Build

Compare the current process with an AI-recommended target state — including steps that are new, changed or removed — so investment decisions are made on evidence, not enthusiasm.

✓
AI-recommended To-Be design, benchmarked against industry patterns
✓
Guide the redesign with explicit levers: automation, augmentation, cost, compliance, speed and quality
✓
Side-by-side As-Is vs To-Be comparison, colour-coded by change type
✓
Coverage analysis — which steps automate, augment or stay human
AI+ve As-Is vs To-Be process comparison, colour-coded by change type

Live product screen — As-Is vs AI-recommended To-Be, side by side, for an order-fulfilment process.

Stage 3 · Build

Accelerate Workflow Creation Without Surrendering Control

Visual orchestration and an AI revision experience let teams refine complex workflows while retaining explicit actions, routes and approval logic. Agents reason through situations and act within the boundaries you define.

✓
Natural-language creation — describe the agent, AI generates the configuration
✓
Drag-and-drop Agent Studio — branches, approval gates, loopbacks, no code
✓
Bounded autonomy — agents can only call pre-approved, validated actions
✓
App Studio — build and publish custom interfaces without developers
AI+ve Revise Workflow with AI — natural-language agent editing

Live product screen — revising an agent workflow with a plain-English instruction.

Stage 4 · Integrate

Connect to Everything. Govern Every Connection.

One connector layer replaces brittle point-to-point integrations — governed, audited and reusable across every agent you build.

✓
REST/HTTP APIs, OpenAPI/Swagger, SOAP/WSDL, scripts and commands
✓
Enterprise SaaS — Salesforce, SAP, ServiceNow, Jira, Confluence
✓
Cloud platforms — AWS, Azure, GCP, Lambda, storage & databases
✓
Core banking & FS — Jack Henry, Banno, FIS, Fiserv, fintech APIs
✓
Any external MCP server or third-party AI agent, plugged in as a connector
AI+ve workflow canvas showing SIPOC suppliers, inputs, outputs and customers for a live integration

Live product screen — every step maps to the systems that supply and consume it, right on the workflow canvas.

Stage 5 · Govern & Measure

See the Workflow Run — and Retain the Evidence

Execution views expose completed, skipped and active steps, so operations teams understand how a workflow behaved instead of treating the agent as a black box.

✓
RBAC & SSO — fine-grained access on every workflow, connector and action
✓
Approval gates — execution pauses until the right person signs off
✓
Full audit trail — every execution logged with parameters, actor and timestamp
✓
Evaluation engine — outcomes scored and fed back into improvement cycles
✓
Value tracking from first execution through to business KPIs
AI+ve Execution Summary — step-by-step audit trail with complete and skipped actions

Live product screen — every execution leaves an audit trail: steps, duration and outcome, node by node.

Built, Not Conceptual

A Closer Look Inside AI+ve

More of the screens behind the journey, captured directly from the platform.

AI+ve discovery pipeline — As-Is Discovery, Transformation Gate, To-Be Design, Execution

The discovery pipeline, stage by stage — from raw input to an AI-recommended next step.

AI+ve AI model picker showing OpenAI, Anthropic, Bedrock and open-source models

Model choice — select the model that fits the workload, without binding the workflow to one vendor.

AI+ve Agent Studio showing a library of governed agents organised by category

A library of governed agents, organised by team and use case in Agent Studio.

AI+ve workflow swimlane view, organised by actor and by system

Editable flows with actors, systems and decision points — handoffs visible across swimlanes.

AI+ve workflow canvas showing explicit, governed branching logic

Governed branching logic — every route is explicit, and every action is pre-approved.

AI+ve execution detail showing AI reasoning, confidence score and token usage

Trace why an agent acted — reasoning, confidence and model usage as part of the execution record.

Architecture

Config-Driven, Model-Agnostic and Integration-First

AI+ve is designed so models, connectors, workflows and application experiences can change independently — reducing lock-in and making enterprise controls reusable.

Experience layerWhere people work
Web / mobileChat / messagingCustom appsEmbedded experiences
AI StudioFrom ideas to AI agents
Natural-language agent builderVisual workflowsDynamic app rendererDomain agents
Connector fabricConnect everything
REST / OpenAPISaaS / ITSM / CRM / ERPCloud / DBMCP serversScripts & commands
GovernanceTrust by design
RBAC / SSOApproval gatesAction registryAudit & observabilityHuman-in-the-loop
Context & dataWhat agents know
CMDB / metadataVector knowledgeApplication dataProcess repositoryEvaluation history
Design Principles

AI Executes. It Does Not Improvise.

Architectural decisions built into the platform from the start — not features bolted on afterwards.

🔒

Controlled Action Boundaries

Enterprise actions are pre-defined, governed and versioned — not exposed as unrestricted tools

› No free-form tool calls — every action is pre-defined and approved › Action library is version-controlled and auditable › Wrong answers are recoverable — rogue actions are not
🧠

Bring Any Model

Select models by task, cost, latency or compliance need — without rewriting the workflow

› Pre-integrated with OpenAI, Anthropic, Bedrock, Azure, Vertex AI › Route by task type, cost threshold or compliance zone › Swap the engine, keep the car — no workflow changes
🔌

Integrate — Never Replace

Existing platforms, scripts and automations stay in place while AI+ve orchestrates and governs across them

› Works alongside Salesforce, ServiceNow, Copilot, UiPath › Wraps legacy scripts in governance — no rip-and-replace › External agents and MCP tools plug in as connectors
See It in Action

Explore the Product Experience

Preview each stage of the journey in the demo library — or bring one of your own processes and we'll walk it through AI+ve with you.

View Demos → Book a Discovery Sprint