Nayya
Agentic AI adviser that optimizes employee health and wealth benefits decisions
By Nayya Health, Inc. · 4.0/5 verified-buyer score
Positioning guardrails
Best for
- Large employers that want an AI layer guiding employees through benefits decisions
- HR and benefits teams answering high volumes of benefits questions (vendor cites a 46% reduction)
- Brokers and consultants looking to differentiate their benefits practice with AI
- PEOs, carriers and platforms that want to embed benefits intelligence in their own products
Ideal size: 1,000+ employees people · Enterprise employer or benefits partner with an established benefits stack
Not for
- Small employers without an established benefits administration or HR stack
- Buyers who need published, self-serve pricing before committing to a demo
- Teams shopping for an HRIS or payroll system of record (Nayya is not that)
- Organizations unwilling to let an AI agent take actions on employees' behalf
Value metrics scorecard
Time-to-Value
1–2 months
~45 days to first production value
Total Cost of Ownership
$0/yr
Starts at $0 · Custom enterprise pricing quoted per employer; not published. Sold through demo tracks for brokers/consultants, employers, and partners (PEOs, carriers, platforms).
Implementation Friction
3/5
Engineering + admin effort required
Buyer Score
out of 5 · verified buyers
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; scoped per employer and covered employee population.
Add-on costs
- None
Company & support
Who is behind Nayya, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsNot listed
- Community forumNot listed
- Help centre / docsPlan not stated
- Dedicated account managerNot listed
- In person / on-siteNot listed
- Hours
- Not recorded
- Response time
- Not stated
Site footer links a Help center and Developers hub. No support tiers, hours, or SLAs are published.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Nayya sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Nayya
- Ocrolus
- Celonis
- Docebo
- Firstbase
- Planet DDS
Add or change companies
Up to 10 companies including Nayya. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Nayya ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes an agentic AI adviser: employees ask benefits questions and choose how much the agent does, up to taking actions on their behalf. The site also cites machine learning to optimize health and wealth together. No model-provider, BYOK, or AI audit-logging details are published.
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Agentic AI benefits adviser. Answers benefits questions and can act on employees' behalf, embedding in Slack, Teams and iMessage instead of a standalone portal. Vendor reports 3M+ employees served, a 46% cut in benefits-related HR questions, and $5–10K reclaimed per employee via automated claims filing. Sold through employers, brokers/consultants and partners (PEOs, carriers, platforms); pricing not published. A public API supports employer provisioning. No MCP path or published AI model/audit details.
Frequently asked questions
How is Nayya priced?
Nayya does not publish list pricing. Its site routes buyers into three demo tracks — broker/consultant, employer, and partner (PEO, carrier, platform) — and says fit, pricing and implementation are explored with its team. Expect a custom annual quote scoped to your covered population, plus an implementation project.
What does Nayya actually do for employees?
It is an agentic AI adviser for benefits. Employees can ask benefits questions and choose how much the agent does on their behalf, from guidance to taking actions. The vendor reports a 46% reduction in benefits-related HR questions and $5–10K reclaimed per employee through automated claims filing.
Where does Nayya sit in our stack?
It embeds where employees already work — Slack, Teams and iMessage — rather than forcing a new portal. A documented public API at integrate.nayya.com provisions employer and account records, and Nayya says it integrates with benefits administration systems. Validate the specific ben-admin connectors you rely on.
What security and compliance claims does Nayya make?
Nayya's public site states it adheres to HIPAA, SOC 2 + HITRUST, CCPA, NIST 800, ADA and WCAG 2.1 AA, and describes a privacy-forward approach to ethical AI. These are marketing-site statements rather than a dedicated trust centre, so request security documentation, a DPA and AI governance details during diligence.
Does Nayya offer an MCP server for AI agents?
No Model Context Protocol server is documented on the pages reviewed. Nayya does publish an API plus an llms.txt index aimed at AI agents, so a custom integration is technically feasible, but buyers should not assume an official MCP server exists today.