40%
of enterprise applications will be integrated with task-specific AI agents by the end of 2026, up from less than 5% in 2025
Gartner press release, August 2025Every Missed Call IsRevenue Walking Away
Impleko builds inbound and outbound AI voice agents that answer on the first ring, qualify the caller, handle objections, and book the appointment straight into your calendar. At 2am. On a Sunday. In 13 languages.
WHAT WE BUILD
WHAT WE BUILD
No matter which department needs automation, we develop AI agents that integrate seamlessly into your workflows.
Inbound Answering Agents
Pick up in under two seconds, answer questions from your real knowledge base, qualify, and book.
Outbound Follow-Up Agents
Call new leads within 60 seconds of the form fill, re-engage cold lists, and confirm appointments so no- shows drop.
Appointment and Reminder Agents
Book, reschedule, and confirm directly against your calendar and CRM.
Multilingual Agents
One agent, many languages, so you stop losing callers you cannot serve.
Live Transfer and Escalation
The agent knows when to stop talking and hand a hot lead to a human.
Call QA and Analytics
Every call scored, transcribed, and searchable, so the agent gets better every week.
BUILT ON
Retell AI, VAPI, Twilio, and your CRM. We default to Retell because it ships faster and runs more reliably in production than custom voice code.
How we deliver
From Idea to Production Agent in Weeks
A structured approach with clear milestones ensures every agent is validated against business KPIs before going live.
Call audit and ROI map
We listen to your real calls and count what you are losing
Agent design and script build
Persona, flows, objection handling, guardrails
Test calls and tuning
We call it hundreds of times before your customers do.
Go live and improve
Deployed, monitored, retrained on real transcripts
Redefining Product Creation with AI
We don’t just accelerate development — we redefine what’s possible in product creation. This strategic approach to software engineering turns AI into a true competitive advantage.
Success stories
SMART LOGISTICS MANAGEMENT PLATFORM
A logistics company was struggling to manage transport orders, vehicle assignments, and invoicing across multiple clients. We developed a centralized logistics management platform that automates order processing, shipment tracking, billing, and fleet operations through a single, easy-to-use dashboard.
- 10,000+ transport orders managed every month
- 80% faster order allocation and vehicle scheduling
- Reduced operational costs by 60% through workflow automation
- Real-time tracking, invoicing, and reporting from one centralized platform
Who we work with
AI Agents for Any Industry
Every industry has different challenges. We create industry-specific AI solutions designed for your business.
Financial Services
- Tutoring and learning agents
- Content generation pipelines
- Editorial review copilots
- Personalization engines
Retail & E-commerce
- Personalized shopping agents
- Catalog enrichment automation
- Customer support copilots
- Demand forecasting agents
Healthcare
- Clinical documentation agents
- Patient triage chat
- HIPAA-grade RAG systems
- Claims processing automation
Real Estate
- In-product AI copilots
- Internal knowledge agents
- Sales research automation
- Engineering productivity tools
Specialized AI Services
Two production-focused practices that sit inside the broader agent engagement. Pick a starting point, or let us recommend one during discovery
Voice Agent QA & Optimization
Already have agents on the phones but no idea if the calls are any good? We instrument them:transcripts, scoring, containment rates, and dashboards, so agent quality becomes something you manage instead of guess at
Telephony & CRM Integration
Connect the agent to the systems that hold the money: Twilio, your calendar, your CRM, and your internal APIs, so a booked call is a booked record
Agentic AI · Why now
The Numbers Behind Agentic AI
Independent research shows AI agents moving from pilots into production, cutting operational cost and reshaping how work gets done. It also shows most projects failing. Which is exactly why the build matters more than the model.
Questions TeamsAsk First
How is this different from ChatGPT?
Will it make things up?
Do we need clean data first?
Who owns it?
How long until we see ROI?