AI Voice Agent Services
Inbound and outbound voice agents on your own phone lines: answering, scheduling, qualification, and follow-up, integrated with your CRM.
Services
Every service below ends in a system running in production: on your phone lines, inside your CRM, over your documents, or as software your team uses every day. Pick the entry point that matches where work piles up.
AI Systems
The core of DPI: operational discovery, workflow automation, autonomous agents with guardrails, and voice agents that run on your own telephony. These services share one delivery process and one production standard.
Inbound and outbound voice agents on your own phone lines: answering, scheduling, qualification, and follow-up, integrated with your CRM.
End-to-end automation of intake, approvals, data entry, reporting, and hand-offs across the systems your teams already use.
Cross-system automation with audit logs, role-based access, and exception handling a controller can sign off on.
Custom agents that take actions in your systems with guardrails, escalation, and audit trails.
Operational discovery, readiness assessment, architecture, and a deployment roadmap that ends in production.
Conversational AI, Knowledge, Analytics
Systems that answer, retrieve, and analyze: chat assistants for customers and staff, retrieval over your documents, operational analytics, and custom LLM applications on hosted or self-hosted models.
Custom chat assistants for websites, WhatsApp, and internal tools, trained on your knowledge and connected to your systems.
Grounded assistants for support, sales, and ecommerce with single sign-on, governance, audit trails, and private or self-hosted models.
Retrieval systems over your documents, tickets, and databases so teams and agents get grounded answers.
Operational analytics, forecasting, and reporting that turn scattered data into decisions.
LLM applications, RAG pipelines, fine-tuning, and evaluation, on hosted or self-hosted models.
Software & Growth
The software around the AI: CRMs designed for your process, SaaS products and MVPs, customer portals and internal tools, plus visibility in Google and AI answers for the business itself.
CRM built around your sales and operations process with AI scoring, enrichment, and automation inside.
AI-native SaaS platforms and MVPs: architecture, multi-tenant backend, billing, and launch.
Internal tools, portals, and integrations built with Node.js, Python, React, and PostgreSQL.
Customer portals, dashboards, and enterprise web apps with AI features built in.
Visibility in Google and in AI answers: technical SEO, content systems, and citation building.
Visibility, conversion, automation, and lead handling engineered around measurement, for B2B and service companies.
Websites & Local Growth
For businesses that need customers from the web today: sites of any complexity from a landing page to a store, someone responsible for keeping them running and safe, WordPress cleanup and hardening, search rankings that turn into leads, and a Google Business Profile that fills the calendar.
Landing pages with lead capture, online stores, catalog and showcase sites, and business sites built to rank and convert.
Hacked site cleanup and malware removal, root-cause fix, hardening, firewall, and monitoring so it does not happen again.
Updates, backups, monitoring, fixes, content changes, and monthly improvements for WordPress, Shopify, and custom sites.
Technical fixes, content matched to real searches, links, and reporting tied to leads for small business and B2B.
Profile management, reviews, citations, location pages, and Reserve with Google booking for businesses found on Maps.
A Book button on Google Search and Maps through Google's Actions Center: eligibility, application, feeds, booking server, launch, and monitoring.
How DPI Works
We map the workflow, count the volume, and find the bottleneck that is worth automating first. Output: a scoped deployment with success metrics.
Model selection, integration design, data flows, guardrails, escalation paths, and the human-in-the-loop points. Output: an architecture your IT team can review.
Build, integrate, test against real cases, and launch on your infrastructure or ours. Output: a system in daily use with monitoring and audit trails.
We watch quality, handle edge cases, tune prompts and models, and expand scope as the numbers justify it. Output: a monthly report against the original metric.
By Business Problem
Solutions are packaged deployments for a specific operational pain: missed calls, a front desk that cannot keep up, documents keyed by hand, leads that wait hours for a reply.
FAQ
Start with AI consulting: a short operational discovery that maps your highest-volume workflows and proposes one scoped deployment with success metrics. Most first deployments are a voice agent, a document workflow, or an intake automation.
We build on what you have. Voice agents connect to your existing phone system over SIP, automations run inside your CRM and back office, and knowledge systems index the documents where they already live.
Yes. We deploy on OpenAI, Anthropic Claude, and AWS Bedrock, and we run open-source models such as Qwen and open-source speech models on infrastructure you control when data residency or cost requires it.
Discovery, architecture, production deployment, and ongoing optimization. Each phase has a defined output, and every deployment is measured against the operational metric it was built to move.
Next Step
Tell us where calls, tickets, documents, or approvals pile up. We map the workflow, size the impact, and propose a deployment you can measure.