In recent years, artificial intelligence (AI) has ceased to be a futuristic concept and has become a key tool in the daily lives of companies and consumers. In this context, AI agents – also known as agentive AI –are positioned as one of the most interesting developments: systems capable of making decisions, learning from their environment and acting autonomously to meet specific objectives.
But with their growing prominence comes an essential question: do these agents generate trust or distrust among users? And what can companies do to ensure that the relationship between people and technology is based on transparency, security and real value?
What is Agentive AI?
Agentive AI refers to intelligent systems designed not only to respond to specific tasks, but to act proactively, autonomously and continuously according to defined objectives. These agents can perceive their environment, reason, make decisions and execute actions without constant human intervention.
Unlike traditional AI systems, which tend to be reactive, AI agents function more like active virtual assistants, able to anticipate needs, learn from experience and adapt to new contexts.
Relevant Use Cases
- Personalized customer care
AI agents can manage conversations across multiple channels, resolve queries, escalate complex cases and learn from each interaction to deliver an increasingly relevant experience. - Business process automation
From automatic mail sorting to reporting to inventory management, autonomous agents can make decisions that optimize operational efficiency. - Intelligent sales and marketing
Using predictive analytics, agents can suggest the best time to contact a customer, personalize offers or identify conversion opportunities. - Internal support in organizations
AI agents can assist employees in administrative tasks, offer technical support or help in the onboarding process of new team members. - 24 x7 availability which increases the operational resilience of organizations.
Trust or Distrust?
Despite their usefulness, AI agents also raise legitimate concerns:
- How transparent are they in their decisions?
- How is user data protected?
- What mechanisms are in place to correct errors or biases?
Confidence in AI is not an automatic outcome; it is built. And users today demand more than just efficiency: they want to understand how the technology that supports them works and have the assurance that their data is protected.
Factors that generate distrust:
- Lack of transparency in automated decisions.
- Feeling of loss of control.
- Privacy and data misuse concerns.
- Inconsistent or poorly explainable results.
Factors that reinforce trust:
- Explainable AI and decision traceability.
- Interfaces that allow human supervision.
- Clear data use policies.
- Ethical and regulatory frameworks respected.
Salesforce: Trusted AI for a sustainable future
In this scenario, Salesforce is positioned as a leader in the development of trusted AI agents thanks to its firm commitment to ethics, transparency and security at every layer of its solutions.
At the core of this proposition is the Einstein Trust Layer: an architecture that provides full control over data, ensuring privacy, compliance and auditability. This layer acts as an active defense so that enterprises can deploy generative AI and autonomous agents with peace of mind:
- Sensitive data is protected by design.
- Corporate governance is respected.
- Models are trained and adjusted without exposing confidential information.
Thanks to Einstein Trust Layer, organizations can accelerate their innovation without compromising the trust of their users or the integrity of their operations thanks to its Zero Retention policies, bias detection and anonymization of sensitive data in AI queries.
A double layer of trust for intelligent agents
On this path to more trusted AI, Unified Comms, a Salesforce partner and MailComms Group company, raises the standard by offering a double layer of trust in the interaction between intelligent agents and end users.
Thanks to CertySign’s native integration with Salesforce, it allows intelligent agents to not only automate and personalize communications, but also to launch certified communications with legal value, without leaving the Salesforce environment. This is achieved through direct connection with CertySign, a platform certified and audited by Qualified Trusted Service Provider (QTSP) in certified electronic delivery, according to the European eIDAS regulation.
Why is this double layer important?
- Intelligent and legally binding automation: agents not only act autonomously, but their actions can also have immediate legal backing (e.g. sending reliable notifications, digital contracts or certified confirmations).
- Full traceability and legal evidence: each certified communication is recorded with time stamp, proof of delivery and auditing mechanisms.
- Seamless and secure experience: everything happens without leaving the Salesforce ecosystem, maintaining operational agility without compromising compliance.
The role of the Trusted Service Provider is key in this process: it provides certainty, integrity and legal validity in an increasingly complex digital environment, functioning as the link that transforms technological efficiency into tangible trust.
With this joint solution, Salesforce and Unified Comms don’t just power artificial intelligence: they make it trusted, legally secure and aligned with the highest standards of digital trust.
Beyond communication: certified processes from start to finish
The Unified Comms legal trust layer can also be extended to many other key processes beyond automated communications:
- Qualified electronic signature in automated processes: contracts, quotes or agreements can be legally signed by AI agents within Salesforce.
- Automated legal notifications: from non-payment notices to contractual changes, agents can generate legally backed communications.
- Certified consent management: ideal for regulated environments such as healthcare, finance or telecommunications, where consents must be traceable.
- Validated digital onboarding: onboarding of customers or employees with certified proof of identity and acceptance of conditions.
- Statutory audit in sensitive processes: any decision of the agent may be accompanied by evidence of completeness, date and traceability.
This makes Salesforce, in combination with Unified Comms, an end-to-end trusted platform, where intelligent automation and certified legality work together to transform the way organizations operate in the digital environment.
Conclusion
Agile AI represents a revolution in the way we interact with technology, enabling a degree of automation and personalization never seen before. But its mass adoption will depend on our ability to make it reliable, transparent and secure.
Betting on Salesforce is betting on AI agents that are not only intelligent, but also reliable, ethical and aligned with the values of each organization. Because true innovation doesn’t just solve problems: it builds lasting relationships of trust.