Introducing

AI Agent Platform

Our AI Agent Platform is an automated chat agent tool that helps you quickly respond to customer queries across multiple platforms. Designed to save you time and enhance your online presence, the AI Agent Platform makes customer service effortless, so you can focus on growing your business.

Your volume grew. Your headcount didn't.

Contact volume rises every quarter, and hiring to match it stopped being an option a long time ago. Nuestra AI handles the routine contacts end to end - across web, voice, SMS, messaging and social - so your team spends its time on the conversations that actually need a person. Same staff, more coverage, lower cost per contact.

Built for the volume you actually handle

Automate customer interactions and focus on growth.

  • Typically resolves 70-85% of contacts automatically - across consumer support and sales deployments alike.

  • Answers in over 20 languages without adding language-specific staff.

  • Escalates to your team with full context, routed by skill and language.

  • Deploys into your existing contact center - no rip-and-replace.

  • Reports on volume, resolution, and token spend by agent and by account.

We Understand the Challenges

With most customer inquiries resolved, we can help you thrive. We're improving how businesses interact with customers.

Your Agents Don't Just Answer

They do the work

Answers grounded in your own knowledge

Upload documents, point us at your website, or write Q&A pairs directly. The agent retrieves from your material rather than improvising, and every answer carries attribution - you can see exactly which document or knowledge entry produced it.

It tells you what it doesn't know

The agent tracks every question it couldn't answer and surfaces them for review, so your knowledge base improves from real conversations instead of guesswork. When a human gives a good answer during a handoff, promote straight into the knowledge base with one click.

Calendars and scheduling

Book, reschedule, and cancel appointments inside the conversation. The agent reads live availability from Google Calendar or Microsoft 365, creates the event, and confirms it - no form, not callback, no phone tag.

Custom functions

Connect the agent to your own systems and let it act on them. Check order status, look up an account balance, submit a service request, verify eligibility, start a return - anything you can expose as an API. Define your own tools with parameter schemas and JSON-path extraction, and test them before they go live - or have us build them, using the development points included in your agreement. Web search, webpage fetch, image generation, stock prices, and weather built in.

Every channel your customers use

Website chat, SMS and MMS, voice, WhatsApp, Facebook Messenger, Instagram, Microsoft Teams, Slack, Discord, Google Chat, and email through Gmail or Microsoft 365. One unified social inbox handles comments and DMs together, with replies, private replies, reactions, and read receipts. Automatic language detection means the agent answers in the language it was asked in.

Escalations that arrive with context

The agent decides when a human is needed and hands off - or the customer asks. Either way the conversation goes to the right person carrying a full transcript, an AI-written summary, the customer record, and everything already collected. Your team takes over mid-conversation, replies by SMS if they're away from a desk, and gets AI-suggested replies and knowledge search while they work. Office-hours awareness means routing changes when you're closed.

It answers the phone, too.

Real-time AI voice on your own phone numbers - not a menu tree. The agent speaks naturally, pulls from the same knowledge base as your chat agents, handles keypad input when callers prefer it, and transfers to a live person mid-call with context intact.

Conversations that continue on their own

Post-conversation follow-up journey A conversation ends and is evaluated, then branches into scheduled follow-up steps across email, messaging and CRM channels over hours and days, converging on either re-engagement or a closed outcome. Conversation ends +1 hour +1 day +3 days Conversation ends outcome recorded What was collected? Summary email recap + next step Text message if number captured CRM record owner assigned Reminder if unopened Reply detected journey halts Back to a conversation Closed no response a reply re-opens the conversation and the cycle begins again steps whose data was never collected are skipped, not failed

Journeys are multi-step workflows that run after the conversation ends. Send a follow-up email two days later, an SMS reminder before an appointment, a Slack alert to your team, or a webhook into your own system — triggered by what happened in the conversation, scheduled, or fired on timeout.

Journey steps can act across email, SMS, WhatsApp, Messenger, Slack, Microsoft Teams, Google Chat, webhooks, Zapier, and GoHighLevel.

For the answers that must be exact — pricing, policy, legal language — literal messages return deterministic canned responses with no AI involved.

It can sell, not just support.

Connect your Shopify or WooCommerce store once, and your agent starts selling inside the conversation.

BigCommerce support arrives in early 2027.

  • It searches your real catalog, live. A customer asks for blue running shoes under $120 and gets actual results - with the pricing, stock, and availability your store has right now, not a synced copy that drifted last Tuesday. AI re-ranking keeps results relevant, and the agent automatically tries alternate wording when a customer says "fleece" and you call it a winter jacket.

  • It carries a cart. Add items, remove them, change quantities across the whole conversation — all behind one checkout link that stays current.

  • Customers pay on your checkout. Checkout happens on your store's own secure page, so your payment processor, taxes, shipping rules, and discount codes all work exactly as they do today. No card details ever pass through us.

  • Wholesale and negotiated orders, too. For custom pricing, the agent creates a draft order and emails the invoice to the customer.

  • Order status without the privacy risk. Customers can check where their order is, but lookups require both the order number and the matching email address — so nobody browses someone else's purchase history.

Nuestra AI's Agent Platform Will Help You

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Consistency at Scale

Every customer gets teh same accurate answer, drawn from your approved knowledge base, whether it's the tenth contact today or the ten-thousandth. Responses stay on-brand and on-policy across every channel and every language.

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Coverage without the hiring cycle

Extend hours, add channels, and absorb seasonal spikes without recruiting, onboarding, or scheduling around them. Capacity changes in configuration, not in headcount.

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Your Team on the Work that Matters

Routine contacts resolve automatically. Your people handle the escalations, the exceptions, and the relationships - the work that actually needs judgment.

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Get More Leads

The AI Agent Platform helps you generate leads by collecting customer information right in the chat. Charm your followers with good conversation rather than disappointing them with a sterile form.

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Integrations Abound

Don't stress. In our free consultation, we will take note of the integrations that are relevant to your business. We will partner with you to ensure that your customers receive clear, consistent communication across your agent channels and the leads funnel into your preferred CRM.

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Customize Your Agent

With Nuestra AI's Agent Platform, it's simple to customize the widget to match your brand and fine tune the responses to match your brand's voice, whether it's light-hearted, formal, or compassionate.

Already running a contact center?

The Agent Platform deploys inside NICE CXone as a BYOC integration — bring your own carrier, keep your existing setup, no rip-and-replace. Inbound and outbound both supported, with skills-based routing and hours-of-operation profiles that match how your floor already works.

The platform joins an existing contact center as a queue participant rather than a replacement for it. Carriers deliver the contact, the AI agent handles what it can, and escalation enters the same routing engine that feeds live agents — respecting skill availability and hours of operation before a human is committed.

Contact-center deployment architecture Customer channels arrive via carriers into the AI agent layer. Resolved conversations return to the customer; escalations pass through an availability check into the contact-center routing engine and on to live agents. Customer Carrier / Transport Platform Contact Center Voice inbound call Messaging sms · whatsapp Web chat embedded widget Email routed inbox Telephony carrier Messaging providers AI agent handles the conversation Escalation control availability · hours Routing engine skills · queue · priority Live agents existing desktop Reporting unified across both resolved — reply returns on the same channel escalate enters queue transcript + context

Conversations hand off to live staff with full context attached. Bring your own model keys if your security policy requires it, at either the account or the individual agent level.

Your data, in the cloud you already use. Everything resides in US datacenters, and you choose whether that's Microsoft Azure, Amazon Web Services, or Google Cloud as part of your contract — so this doesn't become a procurement conversation.

Multi-cloud deployment across Google Cloud and Azure A single pipeline builds the container images and deploys them to both Google Cloud and Azure. Each cloud is an independent stack with its own compute, its own database holding the knowledge vectors, and its own storage. Staged rollout and rollback control releases. One codebase single pipeline Build once one set of images Google Cloud Compute containers · secrets identity · monitoring Cloud SQL config · knowledge vectors conversations Storage documents · assets Microsoft Azure Compute containers · secrets identity · monitoring Cloud SQL config · knowledge vectors conversations Storage documents · assets Canary 10% of traffic first roll back to a prior revision two independent stacks — either cloud can serve a customer on its own

Also integrates with Chatwoot, Zapier, and GoHighLevel for lead delivery and case creation.

Built for the teams who want the API

Everything in the dashboard is available over a REST API with scoped keys, per-resource read/write permissions, and an audit trail on every write. WebSocket streams give you conversation updates in real time.

Connect your AI tools directly. Our MCP server lets Claude Desktop, Cursor, and any other MCP client query your knowledge base, conversations, contacts, and documents — and ask your agent questions — without writing an integration.

Bring your own model keys. Choose your provider and model per agent. Run against OpenAI, Anthropic, Google, or your own self-hosted Ollama deployment.

3 Easy Steps to Success

1. Schedule a free consultation - identify your agent's purpose and actions.

2. Choose integrations - determine which systems to align with.

3. Review the proposal and sign - kickstart your AI journey.

FAQ's

How does pricing work?

You buy a bundle sized to your business, priced on three dimensions: the feature set you enable, the number of domains you cover, and your monthly token allowance. We bill overages only when you exceed the bundle, and every overage is itemized. See our pricing page for full detail.

How many AI Agents can I have?

Our team will assess your business processes, goals, and challenges to determine how many you need for your solution. We'll recommend strategies that align with your objectives, making sure you're set up for success and growth.

What results can I expect from Nuestra AI solutions?

With the right Nuestra AI tools, you can expect increased operational efficiency, cost savings, and improved customer satisfaction. We focus on delivering measurable results that align with your business goals, such as higher customer satisfaction rates and improved productivity.

Will I receive ongoing support after implementing the solutions?

Yes! We, with a signed contract, provide continuous support and optimization after implementation to ensure your generative AI tools are functioning effectively and providing the results you need. Our team is here to help you adapt and grow as your business evolves.

How long does it take to see results with Nuestra AI solutions?

The time to see results can vary based on the complexity of your needs and the AI tools implemented. However, many businesses begin to experience noticeable improvements in efficiency and performance within a few weeks to a couple of months after integration.

With the AI Agent Platform, where do lead notifications go?

That depends on your business needs. Because we meet with you to find out what integrations are important to you, we can customize the destination of the lead notifications. Do you want to integrate with your CRM? We can do that.

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What happens if we exceed our included usage?

You'll get an alert as you approach the limit, and overages are trued up quarterly rather than billed the instant you cross a line. Every overage is itemized by product, model, and outcome.

Can we self-host?

Yes, under an enterprise agreement. Hosted deployment is the default.

What's your uptime commitment?

It depends on your support tier: 99% on Priority and 99.9% on Enterprise, with service credits on Enterprise. Both are measured outside scheduled maintenance windows, which are set out in your service agreement. Standard carries a target rather than a commitment. See the pricing page for the full comparison.

Where does our data live, and who can access it?

Your data resides in US datacenters. Which cloud — Microsoft Azure, Amazon Web Services, or Google Cloud — is selected as part of your contract.

Within your account, access is yours to control: role-based permissions, per-user assignment at the agent level, and API keys scoped by resource with separate read and write rights. Every write is recorded in an audit trail at both account and agent level.

Our own staff access your data only to resolve a support issue or investigate an incident, only with your permission, and only for the duration of that ticket. If you'd rather not approve each request individually, standing defaults can be set up for your account.

Which model providers does the LLM Router support?

OpenAI, Anthropic, Google, Groq, Mistral, Cohere, DeepSeek, Bedrock, Azure OpenAI, and OpenRouter, plus local deployments through Ollama, vLLM, and LM Studio.

What happens when the AI can't answer a customer?

The conversation escalates to a person — routed by intent, skill, and language — carrying the full transcript, the customer record, and anything the agent already collected. Your team picks up mid-conversation instead of starting over.

Is web data collection legally reviewed?

Collection runs against the sources and identifiers you provide and covers publicly accessible data only. We honor robots directives and document the source and collection method for every field we deliver, so your legal team can review provenance before you build a process on top of it.

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