Do-it-for-me UI layer

The way humans interact
with software is changing.
Forever.

CommandPal lives inside your product. Type what you want. It figures out the steps, creates dynamic UI to collect missing inputs, and gets the job done.

Workflow
Product Context
General Question
Up to70%
Fewer support tickets
5
Layers of intelligence
100%
Control stays with the user
The problem

No UI is simple enough
for everyone.

Knowing what you want and knowing how to do it are two different skills. Only one should matter.

NAV

Navigation is the new tax.

Users pay it every time they want to do something. Clicking through menus they never asked for, just to reach a screen.

DOCS

Manuals don't scale.

Every release ships a new Getting Started guide. Every guide is read by a tenth of the people who needed it.

CHAT

Chatbots are smarter guides.

They answer your basic questions. They don't do the work or answer context questions.

TRUST

Coding agents are unpredictable.

We plan, collect only what's missing, and execute. No generated code, no surprises.

The solution

Not three different tools.
One that does all three.

It answers like a support agent, reads your data like an analyst, and executes a task like an assistant.

General QuestionAnswered instantly
Can I carry forward my leaves?
Answer

Partly. You can carry forward up to 10 days of Annual Leave into next year. Sick and Casual Leave don't carry forward; they lapse on 31 Dec.

Source: HR Policy v3.2 · last updated Jan 2026

Grounded in your real documentation. No hallucinations, every answer cites its source.

Workflow

How it works.
Intent to Action.

CommandPal builds the plan, collects only the missing inputs via dynamic UI, executes every step, and provides a clean summary.

01
Intent

User states what they want

No menu, no manual. One sentence in plain language. CommandPal reads the intent and takes over.

User intent
Onboard Arjun Mehta as Product Manager, same setup as the last hire
No navigation. No manual. Just intent.
Workflow
02
Plan

A task plan is generated instantly

CommandPal breaks the intent into ordered steps. Everything it can resolve from live context is pre-filled automatically.

01Create employee profile for Arjun MehtaAuto-resolved
02Assign role: Product ManagerAuto-resolved
03Clone permissions from last PM hireAuto-resolved
04Set reporting managerNeeds input
05Confirm start dateNeeds input
03
Dynamic UI

Only asks for what it doesn't know

Dynamic UI components surface inline to collect the essential user inputs. Click below to interact.

Reporting Manager
AK
Akira KurosawaVP Product
SK
Sneha KapoorHead of Engineering
AL
Anna LayusaDirector of Design
Start Date 14 July 2026
July 2026
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3 of 5 steps resolved from context · 2 inputs collected · ready to execute
04
Execute & Summary

Every step runs. Nothing is lost.

All 5 steps execute in sequence. A full summary is written: what ran, what changed, what's next.

Employee profile created for Arjun Mehta
Role assigned: Product Manager
Permissions cloned from last PM hire
Reporting manager set to Sneha Kapoor
Start date confirmed · 14 July 2026
Why CommandPal

Not a chatbot. Not a guided tour.
A new UI layer.

Every other tool still depends on your interface. They point at it, narrate it, or automate clicks through it. CommandPal sits a layer above the UI: you state intent, it does the work.

The old model
Help the user operate the interface.
CommandPal
Remove the need to operate it at all.
Capability WalkMe CommandBar (CommandAI) AutoGPT-style CommandPalOur approach
Relationship to the UI Narrates it Navigates it Clicks through it Replaces it
What it's best at Guided onboarding Nav, search & in-app help Autonomous experiments Getting real work done
Answers questions from your data No From your docs If you build it Yes, from live data
Executes multi-step tasks No Triggers single actions Yes, autonomously Yes, with a plan
Asks for input it doesn't have Static forms No Guesses or stalls Dynamic UI, on demand
Stays in your control Fully Fully Runs unsupervised You approve, then it runs
Setup cost Author every flow Map each action Build & babysit Connects to your APIs
Under the hood

Five layers of intelligence.
All built to compound.

Five layers that take CommandPal from answering questions to executing real work inside your product.

01

Ground Truth

Answers any product question instantly: features, limitations, policies. Grounded in your actual documentation.

Example query"What is the maternity leave policy?"
Docs indexed · 2,341 chunks
Answer retrieved · 98ms
Source cited · v4.2 docs
02

API → MCP Proxy

Converts your existing REST APIs into MCP-compatible tools. No rebuilding required. Agent-ready in 5 minutes.

What it unlocksAny API endpoint becomes an executable tool.
POST /employees → tool registered
Schema inferred · 12 params
03

Product Context

The agent gains eyes on the live environment, reasoning about real-time state across users, roles, and data.

Example query"Which employees have been inactive 2+ weeks?"
Context resolved · current user
4 employees matched
Last sync · just now
04

Workflows · Atomic UI

Executes tasks by composing multi-step workflows from modular UI components native to your app. No code written.

Example"Onboard Arjun Mehta as PM, same as last hire."
3 steps auto-resolved
2 dynamic UI inputs surfaced
Workflow executed · 5 steps
05

Observability

Full visibility into every intent, plan, execution, and outcome, so you know what users are trying to do.

What it unlocksIntent analytics, failure patterns, completion rates, and knowledge-base gaps to fill.
847 intents this week
92% completion rate
5 unanswered questions · fill the gaps
Security and Privacy

Private by design.
Your data never leaves.

Your data never reaches the LLM or our servers. The model decides which APIs to call; the data itself stays inside your platform. Private by design, with prompt injection built out.

01

Data stays in your platform

The LLM never sees your records. It receives intent and decides which APIs to call. Your data is read and written inside your own systems.

Zero data sent to LLM
02

Plan and execute, separately

The model plans the steps. Your trusted services run them, so no sensitive payload ever leaves your boundary.

Execution runs inside your boundary
03

Prompt injection, mitigated

Data never flows through the model as instructions, so the classic attack surface shrinks. Safety is structural, not bolted on.

Attack surface reduced by design
Get started to

Make "Getting Started Guides"
obsolete.

We start with mature SaaS products. If yours still needs a manual, we should talk.