Shareholder voting
Agents that handle shareholder voting for funds listed on U.S. stock exchanges — where accuracy and traceability are non-negotiable.
Secure call automation for real operations
AI voice agents that don't just talk. They get it done.
Voice agents that execute real business processes, securely and responsibly — connected to your CRM, databases and APIs, from the first hello to the final record.
- Built on Anthropic models, with optional Jev verification
- Aligned with OWASP, NIST and CISA AI guidance
- Team certified by ISC2 and ISACA
Agienti agentCollections · outbound call
Live 00:42
Anthropic modelsChosen for performance and responsibility
Security by designLayered controls on every interaction
Certified teamCISSP · CISM · CCSP · CSSLP · AAISM · AAIR
Private by defaultMasked for external analysis, never used for training
Real automation
Real call automation, not just conversation
Our agents go beyond conversational AI: they automate calls and real operational processes, integrating with your systems — CRM, databases, APIs — to carry out tasks from start to finish.
Customer call
Inbound or outbound, at any hour
Agienti agent
Understands, decides and acts
CRM
Databases
APIs
Process completed end to end
Recorded in your systems, with no manual intervention
Debt collection calls & payment agreements
Outbound debt collection campaigns by portfolio segment that negotiate, register payment commitments and update your core system during the call.
Technical support calls & field dispatch
Handles support calls end to end: it diagnoses the issue, consults a field technician on a second line without dropping the customer, and creates the work order.
Why Agienti
Eight reasons to choose Agienti's AI voice agents
Great voice is only the starting point. What sets us apart is how our agents execute, how we secure them and how we keep them accountable.
01
Real automation
Agents that execute complete processes inside your systems.
02Responsible AI
Continuous oversight, version control and full traceability.
03Security by design
Layered controls aligned with OWASP, NIST and international guidance for AI agents.
04Rigorous validation
Evaluations, playground and simulations before every change, plus optional Jev verification in production.
05State-of-the-art technology
Latest-generation models, low latency and providers chosen for performance.
06Data privacy
Anthropic models that don't train on your data, and personal data masked before any external analysis.
07Proven experience
Agents running critical tasks, such as shareholder voting.
08Results in one place
A workspace with results, recordings and transcripts; custom apps when you need them.
Responsible AI
We operate under responsible AI principles
Continuous oversight
We continuously monitor each agent's behavior and adjust it based on results, accumulated experience and changes in your business context.
Versioning and traceability
Every agent is version-controlled and fully traceable: each change is recorded with its author, date and details, and we can roll back to any previous version at any time.
Certified professionals
Our team includes professionals holding ISACA's AAISM and AAIR certifications, who ensure our agents are used safely and responsibly.
Security by design
We protect every AI agent interaction
We are specialists in cybersecurity and artificial intelligence. That lets us build agents with a strong security posture.
Layered controls
Every interaction between the agent and your business systems goes through layered security controls.
Hostile attempts, stopped
Hostile attempts are detected, blocked and logged for analysis.
Agent interaction
Tool call from the agent
Tool call from the agentData validationL1
Injection-attempt detectionL2
Scope and rate limitsL3
Sensitive-data filteringL4
Prompt-injection attempt blocked and logged
Your business systems
Team credentials
Our team includes professionals holding internationally recognized certifications in cybersecurity, cloud, secure software and AI.
Security leadership
Security programs, governance and risk management.
CISSPISC2CISMISACA
Secure software
Security across the entire software development lifecycle.
CSSLPISC2
Cloud security
Protection of cloud infrastructure, applications and data.
CCSPISC2
AI security & risk
Security management and risk governance for AI systems.
AAISMISACAAAIRISACA
Reference frameworks
We design, deploy and operate our agents using recognized industry frameworks and international government guidance as our reference.
Agent & LLM security
OWASPGenAI LLM Top 10 2026(opens in a new tab) OWASPTop 10 for Agentic Applications 2026(opens in a new tab) MITREATLASAdversarial threat landscape for AI systems(opens in a new tab)Government guidance
CISA · ASD's ACSC · partners · 2026Careful Adoption of Agentic AI Services(opens in a new tab) UK NCSC · CISA · partnersGuidelines for Secure AI System Development(opens in a new tab) NSA · CISA · partnersDeploying AI Systems Securely(opens in a new tab) CISA · NSA · FBI · partnersAI Data Security(opens in a new tab)
Rigorous validation
We test every AI agent before and after going live
Every change to an agent passes through three stages of validation before it ever reaches a real customer.
01
Evaluations
We build and frequently run automated tests that verify the agent responds as expected across different scenarios.
02
Playground
A manual and assisted testing environment where we validate the behavior of the agent and its tools before every change.
03
Simulations
Agents built on frontier models simulate real calls with our phone agents, evaluate each conversation and recommend concrete improvements.
Production
Only changes that passed all three stages reach end users.
No change reaches end users without going through this validation process.
State-of-the-art technology
Conversational AI with natural, real-time voice
The best model for reasoning, and the best voice for each business.
Customer's voice
Speech recognitionInterchangeable
Language model (LLM)Anthropic
Speech synthesisInterchangeable
Natural response
Latest-generation models
We use latest-generation models for speech recognition, language and speech synthesis, along with the newest techniques for natural, fluid conversations.
Latency measured every cycle
We use fast models and measure latency in every test cycle, keeping calls fluid without sacrificing the quality of the answers.
Providers by choice
We use Anthropic models for their performance and their commitment to responsible AI and, when a process calls for it, Jev by TypeSafe for fast, calibrated decisions. For voice and transcription, we choose — per agent — the provider that works best for your business.
Verified decisions with Jev
Verify critical actions with Jev before they're recorded
For processes that need an extra layer of assurance, Jev — the System One decision model from TypeSafe — can check the conversation before an agent registers a payment agreement, creates a work order or books an appointment. It answers concrete questions and returns calibrated probabilities; our agents receive them as additional evidence, and your business rules decide whether to act, confirm again or hand over to a person.
A second opinion on every critical action
Jev independently verifies what the agent understood — whether the customer really agreed, whether it's the account holder — before anything is recorded in your systems.
You decide where it applies
Enable it per process and per action, depending on the risk. Thresholds live in your business rules, not buried in a prompt: act, confirm again or escalate.
Every call, not a sample
When enabled, Jev is fast and efficient enough to analyze every call when it ends: outcomes, commitments, requests not to be contacted and cases for review, all feeding your workspace.
Before registering the agreementEvaluated by Jev
Evidence from the conversation
- Did the customer explicitly agree to the amount and date?0.96
- Is the person on the call the account holder?0.93
- Did the customer ask not to be contacted again?0.03
Agreement registeredEvery check met the business rule
Business rule
≥ 0.85Act
0.50 – 0.85Confirm again
< 0.50Hand over to a person
Privacy layer
Personal data never leaves unmasked
When a conversation goes to external analysis, such as Jev decision models from TypeSafe, our privacy layer first replaces personal data with consistent pseudonyms. The analysis still understands who is who; it just never learns who they are.
Consistent pseudonyms, not blank redaction
The same person always gets the same placeholder, so relationships survive: Jev can still tell the account holder from a third party.
What we mask
Names, national ID and tax ID numbers, phone numbers, emails, addresses, and account, loan or policy numbers.
Real data stays with us
The mapping between placeholders and real data never leaves our platform — a design built to support compliance with privacy and data protection laws in several countries. If you need more information, please contact us.
A clear scope
During the live call, speech recognition, the language model and speech synthesis need the real conversation; they run under their providers' commercial terms, and Anthropic does not train on your data. Masking applies to every analysis outside the call.
Call transcript · stays on our platform
AgentAm I speaking with María Fernanda Rojas?
PersonNo, I'm her brother, Andrés. She's not home.
AgentCould you confirm 300 000 0000 as her number?
Sent to Jev for analysis
AgentAm I speaking with [HOLDER]?
PersonNo, I'm her brother, [PERSON_2]. She's not home.
AgentCould you confirm [PHONE_1] as her number?
A third party answered the call0.97
Anthropic models & privacy
Your information is never used to train models.
This is guaranteed by the commercial terms of Anthropic, the provider of the models we use.
Anthropic models
We use Anthropic models, whose commercial terms guarantee that our clients' information is not used to train their models.
Certified architects
Agents, their tools and their integration with language models are designed by Anthropic-certified architects.
Results & visibility
Full visibility into every call: recordings, transcripts and results
Every solution includes a workspace on the Agienti platform with the business results your agent generates — sales, agreements, votes, requests — and how the calls are performing.
- Download recordings and use interactive transcripts: click any sentence and the audio jumps to that moment in the call.
- We analyze calls to measure each interaction's results against your expected business goals.
- We run multiple clients and campaigns with complete isolation of information between them.
IncludedClient workspace
Dashboards, recordings and transcripts, configured for your process — no development needed.
OptionalCustom app
Web, mobile or native, for special requirements or a fully branded experience.
Sample dataPayment agreements1,284▲ 12% this month
Calls9,730Last 30 days
Contact rate68 %▲ 5 pts
00:58 / 03:02
Click a sentence — the audio jumps to that moment
FAQ
Frequently asked questions about AI voice agents
What is an AI voice agent, and how is it different from a voicebot or IVR?
An AI voice agent holds a natural phone conversation and completes the task itself: it verifies identity, looks up the account in your CRM, registers the result and sends a confirmation. A traditional IVR or scripted voicebot only routes calls or follows fixed menus.
Can AI voice agents automate collections calls?
Yes. Our collections agents run outbound campaigns by customer segment, negotiate payment agreements, register payment commitments and update your core system during the call. Your business rules decide when to act, confirm again or hand the case to a person.
Do AI voice agents replace my call center?
They complement it: AI voice agents take on high-volume, repetitive calls such as collections and first-level technical support, inbound or outbound at any hour, and hand cases to a person when your business rules require it.
Which systems can the voice agents integrate with?
Agienti agents connect to your CRM, databases and APIs to read customer data and record outcomes — payment agreements, work orders, votes, requests — without manual work. Every call from the agent to your systems passes through layered security controls.
How do you protect personal data?
We use Anthropic models, whose commercial terms guarantee that client information is not used to train models. Before any analysis outside the live call, our privacy layer replaces personal data with consistent pseudonyms, a design built to support compliance with privacy and data protection laws in several countries. If you need more information, please contact us.
How do you keep an AI agent from making mistakes on critical actions?
Every change passes evaluations, playground testing and call simulations before production. For critical actions, optional Jev verification by TypeSafe checks the conversation and returns calibrated probabilities, and your business rules decide whether to act, confirm again or escalate to a person.
Let's talk
Put an agent to work on your process.
Tell us which process you want to automate. We'll show you what an Agienti agent can do with it — securely, responsibly and connected to your systems.