AI-native experiences

AI your customers and teams choose to use.

We design and build the places where people meet AI: voice agents, conversational apps, generative search and operator consoles where staff and agents work side by side. Fast, honest about what the AI knows, and always one step from a human.

The problem

Will customers and staff use our AI, and trust it?

“Our chatbot hits its containment target and customers hate it.”

  1. Menu-tree IVRs and FAQ bots.

  2. Keyword search that returns a list of links.

  3. AI added as a side panel to old screens.

  4. One language, one channel, one pilot.

Why a platform

You are right that the interface is where AI earns trust or loses it. We design around the people using it.

Your teams’ time Run by devx
Product development

TodayMenu-tree IVRs and FAQ bots

With devxVoice and chat agents that understand intent, complete the task and hand off to a person with full context

TodayKeyword search that returns a list of links

With devxGenerative search that answers, cites its source and lets people act from the result

TodayAI added as a side panel to old screens

With devxOperator consoles designed around people and agents working together

TodayOne language, one channel, one pilot

With devxMultilingual experiences across channels that share one memory of the customer

What we build

Six pieces, the channel and the interaction.

Voice AI and Contact Centre

Conversations that sound like your best agent.

Real-time voice built for real lines, accents and peak hours.

  • Voice agents with sub-second response, interruption handling and Indian and Southeast Asian languages
  • Agent assist with live transcription, summaries and next steps
  • Warm handoff to people with the full conversation attached
  • Integration with Genesys, Amazon Connect and Google Customer Engagement Suite
Conversational Apps

Get things done, not only get answers.

Chat that completes transactions inside the channels people already use.

  • WhatsApp, web, mobile, Slack and Teams
  • Transactional flows such as payments, bookings and claims status
  • Generative UI components that show forms, cards and choices in the conversation
  • Memory and personalisation, with consent
AI Search and Discovery

Answers people can check.

Search that understands intent across products, policies and knowledge.

  • Hybrid retrieval (vector, keyword and reranking) on Vertex AI Search, OpenSearch or Elastic
  • Answers with citations to the source
  • Intent-aware ranking for catalogues, policies and knowledge bases
  • Search analytics that show what people could not find
Operator Consoles and Copilots

One screen for the people who run the business.

Workbenches where staff supervise agents and make the calls that need judgement.

  • Consoles for underwriters, credit officers, planners and dispatchers
  • An activity feed of agent work with approve and override
  • Recommendations that show their reasons
  • Designed by watching operators work, not from a requirements list
AI-Native Commerce

Buying and reordering as a conversation.

One channel among several, built on the same agents and data.

  • Guided selling for complex and B2B products
  • Reorder and account assistants for trade customers
  • Product content generated within brand rules
  • Post-purchase service handled by agents
Experience Design for AI

Patterns that make AI trustworthy to use.

The craft that decides whether people come back.

  • Trust patterns: citations, confidence, undo and disclosure
  • Latency and streaming design
  • Accessibility and low-bandwidth modes
  • Experiments on AI behaviour, not only on page layout
How we work

A deliverable at the end of every phase.

  1. Observe · Weeks 1–2

    You get Interaction map with failure points ranked

    Listen to calls, read transcripts, sit with operators.

  2. Prototype · Weeks 2–4

    You get Tested prototype and usage findings

    Clickable or voice prototype tested with real users.

  3. Build and pilot · Weeks 4–10

    You get Live experience and a measured pilot

    Production on one channel and one segment, with human fallback.

  4. Expand · Week 10 onward

    You get Monthly experience scorecard

    More channels, languages and segments.

Use cases

Use cases and the outcomes they change.

01 / 10

Multilingual voice agent

Banks, NBFCs, insurers, telecom
What changesRoutine service and collections calls handled end to end in regional languages
Outcome it moves
Resolution rate with CSATcost per call
02 / 10

Agent assist in the contact centre

Any contact centre
What changesLive transcript, summary and next best action for the human agent
Outcome it moves
Average handle timeafter-call workfirst-contact resolution
03 / 10

Generative search on knowledge

Insurers, hospitals, internal IT
What changesCited answers in place of document hunting
Outcome it moves
Search success ratetickets deflected
04 / 10

Servicing on WhatsApp

Banking and insurance customers
What changesStatements, claims status and service requests completed in chat
Outcome it moves
Digital servicing sharebranch and call volume
05 / 10

Underwriter or credit officer workbench

Lending and insurance
What changesAgent-prepared files, reviewed and decided in one screen
Outcome it moves
Decisions per officer per dayturnaround time
06 / 10

Field service copilot

Utilities, telecom, manufacturing
What changesVoice-first guidance on mobile, working offline
Outcome it moves
First-time fix raterepeat visits
07 / 10

Patient and member assistant

Hospitals and health insurers
What changesAppointments, coverage questions and claim status
Outcome it moves
Calls deflectedappointment no-show rate
08 / 10

Employee assistant

Large employers
What changesHR, IT and policy questions answered and actioned
Outcome it moves
Internal ticket volumetime to answer
09 / 10

Dispatcher and planner console

Logistics and mobility
What changesAgent proposals for routes and slots, approved by planners
Outcome it moves
Planner productivityon-time performance
10 / 10

Guided selling

B2B distribution and consumer brands
What changesConversational product selection and reorder
Outcome it moves
Conversion rateorder value

Our fees move with these numbers.

We never report containment on its own: every efficiency metric is paired with a satisfaction metric.

Questions

Ask us anything.

Ask devx › Questions buyers ask
Enter ↵
h1 · cooper light

Send us 100 real conversations from last week.

We will show you which ones AI should handle, which ones it should not, and how it should sound.