Bringing conversational AI into digital care journeys

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Snapshot summary

QUICK OVERVIEW

Saguna Consulting partnered with a growing therapy and telehealth network to improve patient onboarding, automate intake workflows, and explore AI-driven conversational experiences across the care journey. The engagement combined workflow modernization, NLP experimentation, chatbot development, and intelligent data processing to create a more connected digital experience for patients and internal teams.

CORE HIGHLIGHTS

AI-assisted intake and chatbot workflows

NLP-powered data extraction and relationship mapping

Responsive patient and therapist onboarding flows

Conversational search and intelligent retrieval experiences

The impact

The impact

45%

faster patient onboarding and intake completion through streamlined digital workflows

3x

improvement in internal data retrieval and relationship mapping accuracy using NLP-driven processing

60%

reduction in manual handling across onboarding, form management, and chatbot-assisted interactions

Setting the context

The organization operates across therapy, telehealth, and patient engagement services, supporting a growing network of therapists, care teams, and patients. As digital interactions became a larger part of the care experience, the need for more responsive onboarding, better information access, and intelligent support systems became increasingly important.

Saguna Consulting partnered with the team to improve how patient and therapist information moved across systems while also exploring how AI and conversational experiences could simplify day-to-day interactions for both users and administrators.

Why this mattered

Healthcare and therapy platforms rely heavily on timely communication, accurate intake data, and smooth onboarding experiences. Small inefficiencies across forms, APIs, or workflows can quickly impact both patients and operational teams.

The opportunity was not just to digitize workflows, but to make them feel easier, faster, and more intuitive. The organization wanted to improve intake experiences, reduce repetitive manual effort, and introduce intelligent systems capable of surfacing useful information without overwhelming users.

At the same time, any solution needed to remain scalable as patient volumes, therapist networks, and operational requirements continued to evolve.

The opportunity

The engagement focused on building a more intelligent and connected digital experience across onboarding, intake, conversational support, and data processing.

This included:

  • Improving therapist and patient onboarding flows
  • Enhancing APIs and workflow integrations
  • Building conversational chatbot capabilities
  • Exploring NLP and AI-driven relationship extraction
  • Creating searchable and retrievable knowledge experiences
  • Supporting scalable backend and data processing foundations

The work needed to balance usability, responsiveness, and experimentation while supporting ongoing operational growth.

Our delivery

Saguna Consulting worked across frontend experiences, backend systems, AI experimentation, and workflow automation to help create a more connected patient engagement ecosystem.

Intelligent onboarding & workflow modernization

We redesigned and optimized patient and therapist onboarding flows, improving validations, responsiveness, API integrations, and user experience across multiple intake journeys. This included updates to forms, onboarding logic, OTP verification, responsive layouts, and operational workflows that reduced friction across the intake process.

Conversational AI & chatbot experiences

Our teams developed and refined conversational chatbot experiences designed to support information retrieval and guided interactions. We introduced conversational interfaces capable of surfacing relevant responses while improving usability across patient-facing workflows.

NLP & relationship extraction

Saguna Consulting explored and implemented NLP-driven processing capabilities focused on extracting relationships and contextual insights from structured and unstructured datasets. This included experimentation with custom models, Google APIs, LinkedIn data mapping, entity association, and intelligent retrieval pipelines.

Intelligent data retrieval & search experiences

To improve access to information, we implemented retrieval-based experiences supported by MongoDB integrations, backend processing pipelines, and searchable datasets. The system was designed to support scalable information retrieval while enabling future AI-driven enhancements.

Scalable backend & operational support

Alongside AI experimentation, we supported backend APIs, deployment workflows, frontend integrations, testing, and infrastructure setup to ensure the platform remained stable and adaptable as requirements evolved over time.

“The team moved quickly, adapted with us as ideas evolved, and brought a practical approach to AI experimentation without overcomplicating the process"

Looking ahead

The engagement established a stronger digital foundation for onboarding, conversational support, and AI-assisted experiences across the organization’s therapy and telehealth ecosystem.

With scalable APIs, intelligent retrieval capabilities, and conversational workflows now in place, the platform is positioned to continue evolving as new patient engagement and AI opportunities emerge.

The result is a more connected care experience designed to feel responsive, intuitive, and ready for long-term growth.

forward  together

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