Run your business autonomously.

Agentic business operating system

An agent that sees, acts, and remembers.

To enable fully autonomous business execution, we gave our agent eyes, hands, and memory — so execution becomes a loop where each action reinforces intelligence.

👁️

Eyes

See every data point

SQL, APIs, emails, calls, tickets, CRM. Every source unified via 700+ connectors. The agent never works blind.

✋

Hands

Act on every system

Jira, CRM, ad platforms, email, calendar. The agent doesn't just surface insights — it executes them. Closed loop.

🧠

Memory

Compounds with every interaction

5-layer Deep Context Graph persists everything across sessions. Company intelligence that compounds — the moat that grows.

The flywheel: Act → Learn → Act Better

Every action teaches the agent. Every failure is recorded. By operation 10, the agent has more institutional knowledge than any individual employee.

ACT → LEARN → ACT BETTER ↻

Where work happens

Talk to the agent where you work.

Slack, Notion, email, your project tracker — the agent is already there. Assign tasks the same way you'd message a colleague.

agent@yourcompany.com

Tag this address in your corporate messenger, Notion, email, or any document — and the agent does the work. Wherever your team works, the agent is present.

✅

Auto-Reply

Routine questions, status updates, data lookups. Agent answers instantly without bothering the human. "What's the campaign ROI?"

🤝

Human-in-the-Loop

Decisions, approvals, sensitive comms. Agent drafts, human reviews and sends. "Approve this budget?"

🎯

Full Delegation

Complex multi-step tasks within policy. Agent executes autonomously, reports back. "Prepare the quarterly report."

We are living through a phase shift.

Go fully autonomous.
The window is closing.

Now is the perfect time to prepare for fully autonomous operations.

2020 — 2025

The Tool Era (Ending Now)

You bought software. You hired consultants. You owned the complexity.

Tool fatigue. Data silos. Endless integrations. Value leakage across every department.

85% of SaaS implementations require professional services

NOW → 2026

The Preparation Window

Your tech stack isn't AI-ready. Build the foundation now:

· Granular data — every metric unified
· Governance — naming, taxonomy, access
· Business context — ICP, history, memory
· MCP protocol — AI-native access

14.5h Claude Opus autonomous sessions (2× every 4 months)

2027

Fully Autonomous AI Operations

You buy outcomes, not tools. AI agents handle business tasks end-to-end. The next $1T company is a services firm powered by AI.

40% of agentic projects will fail — because they started too late.

Week-long autonomous tasks arriving late 2026 (Gartner)

The consensus is clear

We're going through a phase shift.

Agents are eating software, and business models shift towards outcomes.

Sequoia Capital

"Services: The New Software"

"Autopilots vs Copilots. For every $1 spent on software, $6 is spent on services. The winners won't sell AI tools — they'll sell completed work. Outcomes, not dashboards."

a16z

Andreessen Horowitz

"AI Will Eat Application Software"

"As code costs drop, access to high-quality proprietary data becomes extremely valuable. Process power — embedded workflow knowledge — compounds in value."

Gartner

2026 Predictions

"Over 40% of agentic AI projects will fail by 2027 because legacy systems can't support modern AI execution demands. The bottleneck isn't model performance — it's governance and context."

Deloitte

Tech Trends 2026

"Organizations increasingly recognize agents as silicon-based workers requiring hybrid management approaches. Multi-agent orchestration enables specialized agents working collaboratively."

The Foundation

Improvado knows more about your business than anyone on your team

Every capability — MCP connections, agentic execution, creative intelligence, data governance — works because the agent has complete context. Every data source, metric, and business rule connected in one knowledge graph. It reasons. It acts. It compounds.

Knowledge Graph

Marketing

Google Ads

Meta Ads

Creatives

SEO

Sales

Salesforce

HubSpot

Pipeline

Revenue

Contacts

Finance

Budget

ROI

Forecasting

Pacing

Spend

Analytics

Dashboards

Reports

Attribution

KPIs

Trends

Creative

Assets

Variants

Performance

Fatigue

A/B Testing

Knowledge Graph

Connected understanding, not just a warehouse

Context Compounds

Every new source makes existing insights smarter

Cross-Functional

Marketing + Sales + Finance + Creative in every answer

Memory

Remembers what worked, what failed, and why

MCP-Native · 1000+ Sources

Everything is a token. How much of your company is tokenized?

Improvado is your 360 marketing analytics platform built for the AI era. Not just marketing — sales, project management, communications, documents, CRM. 1000+ data sources, all available to any AI agent through a single standard interface. No CSV exports. No API wrangling. Connect and ask.

MCP is doing to data what APIs did to software. But the value isn't the protocol — it's the breadth. When your agent has context from 1000+ sources across every department, it doesn't just answer questions. It reasons across your business.

Get Access

Sarah Chen

Which campaigns drove pipeline last quarter — and did we spend above budget?

Agent background

Connecting Google_Ads via MCP

Indexing

Vectorizing campaign_spend → 2,847 tokens Building knowledge graph edge: CRM → pipeline Tokenizing Salesforce deal records via MCP Mapping attribution_model to graph context Indexing media_plans schema — 394 new nodes

Marketing Spend Ad Performance Media Plans Marketing Spend Ad Performance Media Plans

• marketing_spend• ad_performance• media_plans• marketing_spend• ad_performance• media_plans

Sales Pipeline Deal Revenue Account Owners Sales Pipeline Deal Revenue Account Owners

• sales_pipeline• deal_revenue• account_owners• sales_pipeline• deal_revenue• account_owners

Customer Data Support Tickets Billing History Customer Data Support Tickets Billing History

• customer_data• support_tickets• billing_history• customer_data• support_tickets• billing_history

Financial Reports Budget Allocation Campaign Analytics Financial Reports Budget Allocation Campaign Analytics

• financial_reports• budget_allocation• campaign_analytics• financial_reports• budget_allocation• campaign_analytics

Agent

3 campaigns drove 68% of pipeline. Total spend was $1.2M — $140K over budget, mostly in paid search. Shall I reallocate toward top performers?

→ Export to Slack → Set overage alert → Campaign insights

1000+ data sources Sales, marketing, project management, communications, documents. Not just ad platforms
Everything is a token Your entire business context, structured for AI reasoning
Any AI agent, any model Works with Claude, GPT, Gemini, or your custom agents via MCP
Real-time context Not stale exports. Live data, live answers
Run from anywhere Connect through any MCP client. Desktop, mobile, your own tools

Run your business
autonomously.