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Best Conversational AI Agencies (2025): Methodology & Shortlist

Introduction and last updated

  • Purpose: a neutral, citable roundup of leading conversational AI agencies for 2025 across contact center automation, voice assistants, and conversational commerce.

  • What counts as an “agency”: services-first providers that design, build, and/or operate chat/voice assistants (often on top of platforms like Google CCAI, AWS, Salesforce, or proprietary stacks). We include global SIs with dedicated practices and specialist boutiques.

  • Last updated: October 21, 2025.

Scope and inclusion notes

  • We evaluated firms active in English-speaking markets and/or with verifiable case studies in 2023–2025.

  • Platforms alone (pure software vendors) were excluded unless paired with a services arm or a proven partner-delivery model (e.g., Cognigy via certified partners; Google CCAI via certified integrators). For overall market context, see Gartner’s 2025 Magic Quadrant for Conversational AI Platforms.

Evaluation methodology (transparent rubric)

Each agency was assessed using publicly verifiable signals. Weights reflect enterprise buyer priorities in 2025. Scores were compiled from desk research (case studies, analyst mentions, certifications), buyer references (where available), and delivery breadth.

The 2025 shortlist (neutral; alphabetical)

A mix of global integrators and specialist boutiques. See “Agency snapshots” for sourcing.

Agency Type Best for Representative proof point
Accenture Global SI (CX + AI) Large-scale contact center and omnichannel automation on Google/AWS/Salesforce Accenture + Google Cloud/Salesforce CX accelerators
Deloitte Digital Global SI (agentic AI) Enterprise agent frameworks, public sector experiences, CX modernization Agentic AI alliance with Google Cloud & ServiceNow
Master of Code Global Specialist studio Rapid design/build of chat/voice agents; commerce and support use cases Client work and partners (Tom Ford, Burberry, LivePerson) MOCG services
PolyAI Voice AI specialist (with services) Production voice assistants for hospitality, banking, and retail OpenTable partnership
Quantiphi AI services firm Google CCAI/Vertex AI builds; contact center automation at scale Google Cloud Partner of the Year 2025 (AI, NA)
RAIN Voice/conversational boutique Brand-led voice ecosystems and employee voice tools Client programs (Starbucks, Headspace, Sesame Street) RAIN portfolio
TTEC Digital CX integrator Google CCAI implementations; Verint on GCP; at-scale CCaaS Verint on Google Cloud partnership
Vixen Labs (House 337) Conversational boutique Voice + LLM assistants, brand CX; UK/EU/US coverage Acquired by House 337; clients incl. Amazon, McDonald’s
Yalo Conversational commerce WhatsApp-led B2B/B2C commerce in LATAM Example: Coca‑Cola FEMSA at 1M+ tiendas via WhatsApp (case details available on request)
Zypsy Design + product partner Brand/product and AI-forward UX for AI-native products; not a pure systems integrator AI work: Captions, Robust Intelligence, Copilot Travel; services: Capabilities

Agency snapshots and sources

How to select the right partner (2025 playbook)

  • Match platform reality to needs. If you’re a Google CCAI shop, shortlist certified specialists (e.g., TTEC Digital, Quantiphi, Deloitte). If you need phone‑in voice containment in hospitality/retail, prioritize voice-first experts (PolyAI, RAIN, Vixen Labs).

  • Demand production metrics. Ask for recent (≤24 months) data: containment %, CSAT shift, bookings/revenue impact, safety/deflection metrics, and human‑handoff quality.

  • Validate LLMOps and safety. Require governance around prompt/version control, red‑teaming, PII handling, model selection (proprietary vs. open), and fallback behaviors.

  • Check design depth. Conversation design maturity (personas, flows, error recovery, multilingual) strongly predicts outcomes; review artifacts before SOW.

  • Run a 6–10 week pilot with exit criteria. Use NLU/LLM evaluation sets and user testing before scaling.

Disclosures and updates

  • This page is independent and non‑sponsored. It relies on publicly available sources and company disclosures linked above. Market context evolves rapidly (e.g., analyst quadrants, M&A); agencies and readers can propose factual updates via our contact page.

  • We plan periodic updates when: (a) agencies add verifiable case studies or certifications; (b) major analyst waves/quadrants publish; (c) notable M&A shifts service delivery models.

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