The gap

You bought AI. It still can't answer a basic business question.

Nine modules, one data model live in 4–8 weeks.
70%

of AI copilots fail in enterprise settings because they lack contextual business data.

— Gartner
Agentic Layer
System of Action

Agents plan, orchestrate, and execute

Agentic CxO roles
Top mgmt consulting skills
feeds
acts on
Context Layer
Semantic Model

Digital data twin · KPI driver tree · User identity · Permissions · Business rules · Domain

feeds
acts on
System of Record
The Foundation

Structured data · Audit trail · Compliance · ERP · CRM · HRIS · PLM

Your copilot drafts emails — not EBITDA variance.

ChatGPT can't see your CRM, ERP, or banking data.

Your data lives in 6+ systems with 6+ definitions of "revenue."

ValueSight AI assistant & agent

Six modes. One co-pilot.

From freeform chat to scenario simulations — ValueSight adapts to how you need to think. Pick a mode below to see it in action.
01 · Start from Scratch

Plain chat, no agents.

Blank canvas for any query.

A simple, open-ended chat interface with no pre-configured agents. Ideal for users who want to ask freeform questions or explore data without structured guidance.

02 · Circle of Advisors

Advisory team insights.

A team of experts, simultaneously.

Activates a panel of specialized AI advisors, each focused on a different business domain (e.g., finance, sales, operations). Users get multi-perspective insights, as if consulting a team of experts simultaneously.

03 · Create Reports

Executive, sales, finance & more.

Blank canvas for any query.

A simple, open-ended chat interface with no pre-configured agents. Ideal for users who want to ask freeform questions or explore data without structured guidance.

04 · Value Creation

Revenue & cost levers.

Where to focus to maximize impact.

Focuses on identifying and analyzing the key drivers of business value — revenue growth opportunities and cost reduction levers. Helps leadership understand where to focus to maximize impact.

05 · Scenarios

What-if & simulations.

Model the decision before you commit.

Enables forward-looking analysis by modelling different business scenarios. Users can simulate the impact of strategic decisions, market changes, or operational shifts before committing to a course of action.

What you get from ValueWorks: Outcomes for the CFO

The Agentic CFO Office: What Changes

From days of data wrangling to minutes of strategic review. Here's the transformation, side by side.
Before · Traditional Finance Team
Days assembling data from 6+ disconnected systems
manual, error-prone, no single source of truth
Management reporting & analysis takes 2–5 days
data scattered across ERP, CRM, HR, billing, bank
Board pack built slide by slide in Excel
leadership waits days for reports that are already stale
Variance analysis blocks the finance team
C-level waits 1–2 days for an answer to a simple question
Forecasts are static monthly snapshots
no live updates as CRM pipeline or headcount changes
CFO role: data controller & report factory
no time left for strategic advisory or value creation
After · Agentic Finance Team with ValueWorks
Data unified automatically — always live, always trusted
digital data twin connects ERP, CRM, HR, billing in one place
Controlling agent surfaces variances in < 5 minutes
automated root-cause analysis with KPI driver trees
Board pack auto-generated with AI executive narrative
CFO reviews and approves in under 5 minutes
Root-cause analysis is instant and self-serve
C-level answers ad-hoc questions without blocking finance
Monte Carlo forecasts update as CRM pipeline changes
live headcount and revenue scenarios at any time
CFO role: strategic advisor & exception handler
focus on decisions and value creation, not data assembly
ValueWorks delivers this transformation in 4–8 weeks — not 18 months.
Open by design

Your existing AI copilots, finally connected to your business.

Our MCP Server gives Claude, ChatGPT, Langdock, and Microsoft Copilot secure, role-based access to your data twin — so they answer business questions, not just generic ones.
ai-connection
Authorization framework

Role-based access, scoped tokens, audited every call.

Semantic context (data twin)

One shared definition of revenue, EBITDA, headcount, ARR.

Connections to core systems

Pre-built links to ERP, CRM, HRIS, banking — and 50+ more.

< 5 min
Board-ready report — from any AI assistant.
FAQ

Frequently asked

How is this different from Power BI?

Power BI shows you charts. ValueWorks builds the data twin, answers the question in natural language, and lets agents act on the answer. We sit upstream of any BI tool — and replace most reports it produces.

Which AI assistants does the MCP Server support?

Claude, ChatGPT, Langdock, and Microsoft Copilot today, with any MCP-compatible client supported out of the box. The MCP spec is open — your future copilots will work too.

How long until I see value?

Live KPIs in two weeks. Full onboarding in 4–8 weeks. AI agents in production by day 60. We do not run pilots that don't reach value.

Where is my data stored?

Single-tenant on Microsoft Azure, EU and Germany regions. GDPR-compliant. End-to-end encryption in transit and at rest. SOC 2 audit pack available on request.

Can we start with one use case?

Yes. Most customers start with one CFO pain point — usually cashflow forecasting or board reporting — then expand once the data twin proves out.

Does it work with DATEV, SAP, and HubSpot?

Yes — all three are pre-built connectors. Plus 50+ more across ERP, CRM, HRIS, billing, and banking. We add new sources in days, not months.

Stop flying blind. See your data in ValueWorks in 60 days.