Unreliable execution
Salesforce research exposes the limits and risks of AI agents.
They fail four in ten simple actions and six in ten multi-step tasks.
An email-sorting agent deleted hundreds of messages despite repeated instructions to stop.
Reliable · Secure · Sovereign
Governed AI layer built to enterprise standards
The first automation layer built
for mid-sized and large enterprises.
On-premises · Model-agnostic
Member of the Cegid Startup Program
The problem
AI is being used for the wrong tasks
Consequences
Source
Source
Systemic security risks
IBM found that more than one in ten surveyed organizations had experienced an AI-related breach.
Of those organizations, 97% lacked adequate access controls.
A compromised AI chatbot exposed data from more than 700 companies, including Cloudflare, Palo Alto Networks and Zscaler.
Uncontrolled costs
AT&T's token usage rose by more than 2,600% in 18 months.
Uber exhausted its annual AI budget in four months.
Gartner estimates that more than 40% of agentic AI projects will be canceled by 2027.
Agentice approach
A known approach for secure and reliable AI with measurable ROI
Assistant
An AI assistant for every employee
For one-off tasks, research and analysis.
Capabilities and safeguards
Continuous memory and learning, tailored to each role.
An isolated workspace governed by company policy.
Human approval for every significant action.
Automation
Deterministic AI automations
For recurring, critical or complex work.
Capabilities and safeguards
Converting AI actions into deterministic actions.
Designed to deliver up to 100% reliability and lower task execution costs.
Governed by company policies, every run is reviewable.
01Reliability · Lower costs
Memory that improves with every task
The memory protocol continuously updates essential context: events, clients, partners, working preferences and writing style.
The learning protocol captures each task's workflow, rules and exceptions.
Together, they keep the Assistant current while reducing interaction costs.
02Security
A secure workspace governed by your policies
The Assistant never operates in an employee's browser or personal session. It runs in an isolated workspace where the organization controls access to applications, data and actions.
03Reliability · Security
Human approval before every critical action
The Assistant stops before any action that modifies, sends or commits information. The employee can approve, change or reject it.
These approval gates enable autonomy without allowing unwanted actions.
04Reliability · Deterministic execution
AI actions converted into deterministic execution
Agentice converts AI-generated actions into deterministic workflows that can be reproduced consistently across every run.
Once converted, the workflow executes without relying on AI at runtime.
05Reliability · Lower costs
Reliable execution without repeated AI reasoning
Deterministic execution is designed to reach up to 100% reliability while lowering task execution costs.
The workflow follows verified actions directly instead of reasoning through the process again on every run.
06Governance
Every run is reviewable
Company policies define each workflow's scope, access rights and approval requirements. Every run records its actions, inputs, outputs and approvals.
Depending on company policy, IT can review, adjust or block the automation before activation.
01 / 06
Solution
Reliable, secure and easy to use
Automation
01
The employee describes the process
The employee explains the process in plain language and provides the required documents.
02
The agent clarifies the requirements
The agent identifies every step, exception and business rule.
03
The agent builds the automation
The agent converts the process into a deterministic workflow.
04
The employee tests and approves it
The employee tests each scenario and approves the results.
05
IT review before deployment
Depending on company policy, IT can review the workflow before it goes live.
Assistant
01
The employee submits a request
The employee describes the task in plain language. The Assistant asks only for missing context.
02
The Assistant works transparently
The Assistant works in its isolated environment and uses only approved applications.
03
The employee approves sensitive actions
The employee approves, changes or rejects every sensitive action.
04
The employee reviews the outcome
The Assistant reports what it did, where it acted and what it produced. The employee reviews the outcome.
05
The Assistant learns from approved work
The Assistant saves approved methods, rules and context for future tasks.
Configuration & monitoring
Set the rules once. Monitor every run
01 · Configuration
Configuration built around your organization
Define the operating rules
IT and business leaders define approved applications, roles, security policies and required approvals. Every rule is versioned and auditable before activation.
02 · Monitoring
Monitor and control every run
One console brings together budget tracking, Assistant runs and workflow runs, with the evidence needed to investigate and audit every execution.
Application coverage
Works across your entire application landscape
Web apps, custom connectors, private MCP servers, internal tools and legacy systems.
Security & governance
Enterprise-grade governance
Built-in security under your organization's control.
Control 01
Human approval
Critical actions cannot proceed without explicit human approval. This control is enforced by the platform, not left to the AI.
Control 02
Controlled application access
The AI can access only applications and connectors approved by administrators. Permissions are defined by user, team and task.
Control 03
Granular action controls
Approved recipients, permitted data flows and prohibited operations are configured, versioned and enforced.
Control 04
Isolated execution browser
The AI operates in an isolated browser with no access to unauthorized applications. Browser automations run deterministically, without AI at runtime.
Control 05
Complete audit trail
Every action is logged, timestamped and attributed, providing a complete audit trail for security teams, auditors and regulators.
Control 06
Sovereign deployment
Deploy in a private cloud, on premises or air-gapped, with the models you choose, including sovereign and open-source options. Your data remains under your control.
Contact
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