Governable AI that sounds natural and stays within your control. One platform to design, deploy, and audit it.
[ The Problem ]
Every enterprise wants AI that sounds human. Few can trust AI to make consistent decisions when compliance, policy and risk matter.
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↓ [scroll to solution]
The AI reaches conclusions probabilistically, not through consistent application of your policies. Without a defined rule to point to, you can't explain why a decision was made.
[COST]
You can't govern what you can't explain. Without explainability, AI never graduates past simple FAQ.
Filters block bad responses, but they don't control how the AI reaches a decision. Guardrails manage the symptoms, not the underlying cause.
[COST]
You see the output that was blocked. You don't see how the output was decided.
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[ The Solution ]
Every decision is reached by a strict application of your organization’s policies. LLMs are constrained to the communication tasks: they phrase the decisions, but never define, alter, or override them.
↓ [pick a turn]
VOICE · 09:41:04
Client
Hi. I'd like to repay part of my mortgage early. What will it cost me?
Bot
I'll check that in your agreement. First, could I have your customer number?
The identity check stops the request before it reaches the bank's systems. The question isn't dropped: it's parked until the caller is verified, and the bot's promise to answer it is recorded.
[ RULES APPLIED ]
01 · CHANNEL[carries]
worked, no rule shaped this answer
02 · UNDERSTANDING[reads]
worked, no rule shaped this answer
03 · DECISION[decides]
authorisation gate
04 · FACTS[supplies]
idle — the gate stopped the query
05 · DEFENCE[verifies]
idle — nothing to verify yet
06 · WORDING[phrases]
a promise, then a question
ruled · a named rule shaped the answer
worked · no rule needed
skipped · a rule answered before the model
idle · nothing to do
the layer that decides
MODEL READ
The caller's sentence. No account data existed to see. Returned: question · early repayment · cost.
RULES DECIDED
Park the cost question. Record the promise. Ask for the customer number.
MODEL WROTE FROM
The plan, never the caller's raw words.
WHY THIS WAS SENT
Identity gate — required level (identified) not reached.
DATA TOUCHED - None. The gate stopped the query.
REPRODUCIBLE - Replays turn for turn, v42
01 — FOR IT
Run voice AI in the environment that fits your architecture and security requirements: on-premise, private cloud, or public cloud.
02 — FOR COMPLIANCE
Every voice agent response can be traced back to the policies and rules that govern it. Each decision is fully explainable and explicitly linked to a source.
03 — FOR PRODUCT
Turn voice AI into an engine for business operations, not just simple FAQ conversations. Lekta combines advanced voice capabilities with strict behavioral control to automate workflows that demand precision, accountability, and trust.
[ Platform ]
Define policies, connect systems, and ship to every channel using our AI copilot - Blu. Describe the process in plain language, and Blu builds the initial configuration. Make necessary changes and approve everything in a visual, no-code environment.
↓ [FIVE STAGES · ONE ENVIRONMENT]
Start by describing, in plain language, what you want your voice agent to do. The AI copilot turns that description into a first draft of the agent, including its conversation flow and capabilities.
[ Business impact ]
Lekta gives the people closest to customers the tools to run customer operations. Business operators build dashboards and pull relevant data through conversations with the AI copilot — without ever relying on external teams or advanced software.
Process updates happen in days, not months - driven by your business team with AI copilot support at every step.
Reduction in deployment times
AI copilot builds initial voice agent configuration based on process description
AI copilot asks, probes, and clarifies until the full configuration is completed
No reliance on IT teams or external vendors to make changes
Natural dialogue with guaranteed compliance for improved outcomes.
share of conversations that reach their business goal
Advanced analytics that breaks down processes, surfaces key dropoffs and proactively suggests improvements
Goal-oriented workflows and context-based client readiness recognition
Advanced dialogue management strategies
Technology you never lets you down, and deployment that fits your needs: on-premise, private cloud, or public cloud.
uptime
hallucinations and uncontrolled behaviors
compliance
Built for critical operations and high-stakes workflows
Responsibilities split between deterministic components and large language models (LLMs)
Fully compliant with the EU AI Act
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Regulated conversational AI is not a vendor pick for quarters—it's an architectural decision for years.
Contact sales[ LEKTA BLOG ]
Field notes on deterministic voice AI — architecture, governance and what changes in production.
Learn more →
How deterministic voice AI changes the way enterprises design, deploy and audit customer-facing agents.
Why deterministic decision-making matters when AI moves from demo to production in regulated customer service.
Why most AI customer service still imitates a broken process — and what a version built around the customer looks like.
Governable AI that sounds natural and stays within your control. One platform to design, deploy, and audit.
