WWalli-AI Capabilities
The platform

What your agents can actually do

Every area of the product, in the order you would meet it. Each page is generated from the product's own catalog, so nothing here claims a capability the platform does not have.

Most AI tools sell you a chat box and leave the work to you. Walli-AI sells you the finished work: you hire an agent into a role, connect it to the systems you already run on, and it produces deliverables on a schedule while you are doing something else.

16
Roles you can hire
32
Workflows already written
15
Integrations, with real tools
36
AI models, 8 providers
11
Checks that run on the AI
The areas

Everything, grouped the way you would look for it.

A
Agents and the job model
Hire into a role, or describe the job and let it write its own job description. Skills, memory you can read and erase, and agents that work as a team.
16 roles, 36 models
B
Automation and workflows
Work that starts on a clock, on an event, when a row changes, or when the last job finished. Every run ends in a deliverable, not a transcript.
32 workflows, 6 triggers
C
Daily intelligence
Briefs, the decision queue, follow-ups that close the loop, and a running record of every person, company and deal your agents touched.
8 things it watches for
D
Channels
Your agent in Slack, Discord and Telegram, by direct message or by mention, plus email as a surface you can act from rather than just read.
Both directions, every channel
E
Integrations
Every tool server your agents can call, listed tool by tool, with what each one is deliberately not allowed to do.
15 integrations, 104 tools
F
Data and reporting
Real relational tables with linked records and rollups, public forms, dashboards, and reports whose figures are computed rather than written.
Seven export formats
G
Trustworthy output
Deterministic code checks the AI's work before you see it: reconciliations, scoring, and content compliance. The AI proposes, code decides.
11 checks that cannot be talked round
H
Security and trust
Boundaries enforced in the database and the network rather than by asking the model to behave. Earned autonomy, undo, and a full audit trail.
22 permissions, 4 access levels
I
How it is built
The engineering practice behind the product, including the rule that a guard is not finished until someone has watched it fail.
Every change through the same gate
J
Reliability and operations
Alarms that catch silence, not only errors. Synthetic journeys against the real platform, and an operations console built for watching it.
The failure that is quiet is the dangerous one
K
Cost control
A flat plan price, an AI budget you can cap, and a governor that learns which model is good enough for which job instead of guessing.
36 models, routed by evidence
L
Building your own
Describe an automation and watch it get built, step by step, with an undo on every step. Write and test your own tools before an agent can run them.
Describe it, confirm it, undo it
M
Architecture
Per-session isolated machines, nothing idling, no fleet to patch. Written for the person who wants to know what they are actually buying.
One region, nothing idle
Why these pages are trustworthy

Every count above is read from the product's own catalog when this site is built. When a role or workflow is added, these pages change with it. When one is removed, the claim disappears rather than lingering. Nothing here is typed by hand into HTML.

Start with one job.

Pick a role, give it a single recurring task, and see the first deliverable the same day. Three-day trial, and you can cap the spend before you begin.

Hire your first agent Browse the 16 roles