AI-Powered Custom SaaS & CRM for Expert Consultations

Challenges Faced by Business

Identifying key operational hurdles that hindered scalability, efficiency, and engagement—necessitating intelligent advisor routing, centralized CRM, and enterprise-ready consultation management solutions.

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  Slow and Risky CRM Releases

  New functionality was closely connected with larger CRM release cycles, meaning relatively small feature updates could increase deployment risk or delay improvements required by business users.

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  Heavy Manual Research Work

  Researchers spent considerable time preparing screening questions, research angles, summaries, briefs, and historical comparisons before they could focus on higher-value client and expert interactions.

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  Fragmented Expert Workflows

  Expert sourcing, screening, identity verification, scheduling, calls, research notes, and engagement activities existed across different screens and tools, creating unnecessary context switching.

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  Complex Compliance Requirements

  Expert verification and study publishing required dependable controls, clear accountability, and consistent review processes so sensitive research activities could not bypass required compliance steps.

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  Manual Interview Study Setup

  Interview guides were repeatedly created question by question inside an external platform, making research-study preparation repetitive and slowing teams launching similar expert engagements.

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  Disconnected CRM and Study Data

  CRM records and external interview studies could become misaligned, while multiple roles, review states, and multilingual requirements complicated maintenance of a governed source of truth.

Key Features and Benefits

The ecosystem supports SaaS product development services through request management, expert discovery, verification, scheduling, AI-assisted research, study automation, configuration, notifications, and compliance workflows across a modular enterprise CRM environment.

Guided Request Intake

Structured forms capture client requirements while AI suggests relevant research angles and identifies similar historical requests, helping teams begin new engagements with stronger contextual information.

Expert Sourcing and Outreach

Filterable expert grids, saved filters, drag-and-drop workflows, bulk actions, and outreach capabilities help researchers identify suitable specialists and coordinate engagement activities more efficiently.

Expert Verification

Step-by-step screening workflows include identity verification, helping teams confirm specialist suitability and required compliance conditions before progressing experts toward client-facing consultation activities.

Scheduling and Live Calls

Integrated calendars manage expert scheduling while conference functionality provides dial-in services and call-quality information, reducing dependence on disconnected communication and scheduling applications.

AI Question Generation

AI-powered builders generate screening and survey questions from prompts while keeping drafts editable, reorderable, and reviewable so researchers retain control over final interview structures.

AI Summaries and Research Notes

AI generates initial call summaries for human review while searchable notes and rich editing tools help researchers transform expert discussions into reusable research outputs.

AI-Moderated Interview Studies

Managed templates provide structured study designs with consent and guidance questions while AI can generate multilingual question sets before formal review and publication.

Controlled Study Lifecycle

Studies progress through template, draft, review, publication, and live-edit stages while user activity, roles, historical drafts, and review actions remain traceable throughout the workflow.

Self-Service CRM Configuration

Operations teams can manage thresholds, pricing models, email recipients, dial-in information, and allow lists through validated configuration tables without directly modifying underlying databases.

Impact

The platform delivered measurable improvements in speed, efficiency, and scalability, transforming expert consultation workflows through AI-powered matching, automated operations, flexible formats, and CRM-integrated engagement for enterprise-grade performance.

Independent Feature Delivery

Seventeen live micro frontends can be released independently, allowing functionality to reach users without waiting for a complete CRM deployment and reducing the blast radius of individual changes.

Shared Engineering Foundation

Seventeen applications share common UI, authentication, libraries, and engineering tooling, giving more than fifty contributors a consistent foundation for large-scale software delivery.

Less Repetitive Research Work

AI-generated angles, screening questions, and summaries reduce repetitive first-draft work while keeping researchers responsible for evaluating, editing, and approving final client-facing outputs.

Faster Study Preparation

Managed templates and AI-generated interview guides reduce repetitive study setup, helping teams move from research requirements toward reviewed and publishable interview studies more efficiently.

Stronger Reliability and Coverage

The interview service includes 34 API endpoints, more than 590 automated tests, 14 versioned migrations, and separate development, QA, and production environments.

Scalable Enterprise CRM Delivery

Modular applications, governed AI, shared tooling, testing, and independent deployments provide a strong foundation for enterprise CRM implementation across complex expert-network workflows.

Scalable Enterprise Solution

Delivered an enterprise-ready system through a robust custom SaaS platform development approach.

Enhanced Advisor Engagement

Increased advisor reuse and retention with insights-driven workflows developed by a specialized custom CRM development company.