MktFlow · AI platform for teams

A corporate AI workspace built around your team’s processes

An isolated platform for your company: agents configured for specific business processes, documents as a knowledge base, and role-based team access. The agent prepares the analysis and drafts; people make the decisions.

How it works
Pilot product · Stage 03 of the AI Practice methodology
company.mktflow.ru
Platform workspace: list of processes and an agent
Working version of the platform · demo environment
1 week
from the first meeting to a working pilot on your processes
2–3
agents set up at launch, for the processes you choose
1 = 1
one company, one isolated server and its own database
How it works

A workspace with configured agents, not just a chat with an AI model

01Workspace

Each workspace mirrors a business process

Every process gets its own workspace with the agent’s role, working rules and documents already configured. Your team opens “Tenders” or “Monitoring” and starts working right away: the prompts are already written.

Configured for you
02Human-in-the-loop

The agent prepares, a person decides

The agent runs the analysis and proposes options and drafts. Every answer ends with a confidence level and a list of points to double-check. The final action always stays with your employee.

Built-in quality control
03Knowledge base

Company documents are the source of answers

Policies, case studies and formatting standards are uploaded to the workspace and indexed automatically. The agent relies on these documents and tells you when data is missing.

Your data · your environment
Use cases

How agents help teams

Use case01

Tenders and bids

An initial “bid or no bid” assessment against your criteria, a document checklist, the proposal structure, and preparation for the pitch: weak points and likely questions from the committee.

The decision to bid is yours
Use case02

Monitoring and reports

Report verification before submission: coverage completeness, date consistency, formatting to standard. The agent produces a checklist of fixes; a person sends the report.

Quality before submission
Use case03

Risks and response

Risk level assessment against defined criteria, response options with the pros and cons of each, and immediate escalation to the team when the risk is high.

Escalation goes to people

The list is open-ended: an agent can be configured for any process with clear rules and recurring routine work, from reviewing commercial proposals to answering standard customer requests.

company.mktflow.ru
Conversation with an agent: task breakdown, verdict and confidence level
An agent breaks down a task: verdict and a list of data still needed for a decision
Security

An isolated environment instead of a shared service

A dedicated server per company

The platform is deployed on a dedicated server with its own database. Data belonging to different clients is physically isolated.

Personal accounts and roles

Each employee signs in with their own login over HTTPS. Roles (user, manager, administrator) determine who can access which workspaces and settings.

AI costs are included in the plan

A monthly model usage limit is built into the price and controlled at the platform level, so there are no surprise API bills.

Your documents don’t train anyone else’s models

Uploaded materials are used only to answer your employees and are never passed on for model training.

Getting started

One week from the first meeting to a working pilot

Step 01
We choose the processes

At the first meeting we look at where your processes involve recurring routine work and pick 2–3 scenarios for the pilot, following the AI Practice “pilot product” methodology.

Outcome
Pilot map
Step 02
We set up the platform

We deploy an isolated environment with your branding, build agents for the selected processes, upload your documents and create team accounts.

Outcome
Working platform
Step 03
We launch the team

A one-hour onboarding call: we solve the first real tasks together, and your team receives a user guide tailored to your scenarios.

Outcome
Team up and running

The platform is “Stage 03 · Pilot product” of the AI adoption methodology of MktFlow AI Practice: a verifiable product in a live environment before scaling.

Client sign-in: each company’s platform lives at its own address, such as company.mktflow.ru. The link and credentials are sent when you are connected.

Pricing on request

The plan depends on the number of users and the included AI usage limit. Tell us which processes you want to offload, and we’ll come back with a pilot proposal.

or directly: team@mktflow.online