CUSTOM PLATFORM BUILD

    Invenio Search Group: Multi-Agent Recruiting OS With Voice Screening, Agent Hierarchy, and A2A + MCP Architecture

    Invenio Search Group, an executive recruiting firm, was running the full recruiting lifecycle on paper files, spreadsheets, and tribal knowledge — no CRM, no ATS, no automation. Aries Consulting Group deployed a custom AI-native recruiting OS with an Executive→Specialist agent hierarchy, automated voice screening via ElevenLabs + Twilio, five AI search providers, and full inbox + calendar replacement. Results: 85% increase in placement rate, 90% improvement in applicant-to-role fit, and 30% growth in new client acquisition.

    +85%

    Placement rate

    More candidates placed per search

    +90%

    Applicant-to-role fit

    AI-assisted matching

    +30%

    New client growth

    Consultant time freed for BD

    Built on

    • A2A
    • MCP
    • ElevenLabs
    • Twilio
    • Microsoft 365
    • Gmail
    • Gemini
    • OpenAI
    • Lutra
    • Scrapeless
    Invenio CRM Dashboard — recruiter command center with KPI tiles, AI Suggested Activities ranked by priority, upcoming events, and recent activity feed
    The recruiter command center — KPIs, AI-prioritized next actions, calendar, and live activity on one screen.

    At a glance

    Client
    Invenio Search Group
    Industry
    Executive recruiting / staffing
    Engagement
    Custom Platform Build (multi-agent recruiting OS)
    Architecture
    A2A (Agent-to-Agent) protocol + MCP
    AI agents deployed
    15+ across an Executive→Specialist hierarchy
    Voice screening
    ElevenLabs + Twilio with AI transcript analysis
    AI search providers
    Gemini, OpenAI, Lutra, Scrapeless, custom job-search
    Outcome
    +85% placements, +90% applicant-to-role fit, +30% new clients

    The Challenge

    Invenio Search Group ran executive searches on infrastructure most firms left behind in 2010. Applicant tracking happened in spreadsheets. Client relationships lived in individual consultants' heads and email inboxes. Candidate files were literal paper. There was no CRM, no ATS, and zero automation across any stage of the recruiting lifecycle.

    The firm had real expertise and a strong client roster. What it didn't have was scalable infrastructure. Every placement required manual coordination. Every new consultant onboarded meant rebuilding tribal knowledge from scratch. Growing the business meant hiring more people to run the same broken manual processes — which is the definition of scaling the wrong thing.

    Off-the-shelf ATS products would have solved 30% of the problem. The other 70% — automated AI phone screens, multi-provider candidate sourcing, an agent hierarchy that actually does recruiting work, and a unified inbox-calendar-CRM-ATS — didn't exist as a product Invenio could buy.

    The Solution

    Aries Consulting Group deployed a full Custom Platform Build — a multi-agent recruiting OS, not a CRM with AI features bolted on:

    • Executive→Specialist agent hierarchy. An Executive Agent orchestrates two senior specialists — a Senior Recruiting Agent (executive search, relationship building) and a Technical Recruiting Agent (technical roles, skill matching) — which delegate to four production specialists: Screening Agent (resume parsing, skill assessment), Communication Agent (email automation, scheduling), Analytics Agent (data analysis, reporting), and Research Agent (market research, sourcing). 15+ agents total, all visible in a Live Agent Hierarchy view with success rates and active job counts per agent.
    • Automated voice screening via ElevenLabs + Twilio. The platform places initial phone screens autonomously, transcribes the call, and runs AI analysis that produces a numeric score, a recommendation (Strong / Recommended / Not Recommended), and structured strengths and concerns. Recruiters review screened candidates instead of running first-round phone screens themselves.
    • Five AI search providers, model-agnostic. Candidate sourcing runs across Gemini, OpenAI, Lutra, Scrapeless, and a custom job-search agent in parallel — the platform isn't locked to one model or one data provider, and adding a new one is a config change, not a rebuild.
    • Inbox + calendar replacement. Full Microsoft 365 and Gmail OAuth integration with email-routing, thread-processing, and calendar-availability agents. Recruiters work out of Invenio instead of switching between Outlook, Gmail, and Calendly.
    • AI-prioritized work queue. The dashboard's "AI Suggested Activities" ranks the recruiter's next actions by priority (Prepare offers, Review applications, Follow up with prospects, Update job descriptions) so the team works on the highest-leverage thing every hour.
    • Built on A2A (Agent-to-Agent) protocol + MCP. Agents communicate via the open A2A spec; tools and data sources are exposed through MCP servers. The platform is the production proof of the "MCP-ready for the agentic era" claim, not a slide.
    • Multi-tenant infrastructure with per-user agent provisioning — each consultant gets their own agent instances, their own provider credentials, their own scheduled model-sync runs.
    • Ongoing Growth Retainer to add new agents and modules as the business discovers new leverage points.

    The Results

    • +85% increase in applicant placement rate — more candidates placed per search
    • +90% improvement in applicant-to-role fit — AI-assisted matching surfacing candidates human consultants were missing
    • +30% growth in new client acquisition — the platform freed consultant time from admin work, which got reinvested in business development
    • Paper-to-platform transformation completed in one build — no multi-phase migration, no parallel systems
    • 15+ AI agents in production across an Executive→Specialist hierarchy with live success-rate telemetry per agent
    • First-round phone screens fully automated via ElevenLabs voice + AI transcript analysis

    What got built

    Real screens from the live platform

    Invenio CRM Live Agent Hierarchy — Executive Agent orchestrating Senior Recruiting and Technical Recruiting agents, which route to Screening, Communication, Analytics, and Research specialists, each with active job counts and success rates
    Live Agent Hierarchy — Executive Agent at the top, Senior + Technical Recruiting agents in the middle, four production specialists below. 7 total agents, 113 active jobs, 91% average success rate, 24/7 uptime.
    Invenio CRM Screening Center — list of completed AI voice screenings with numeric scores, recommendations (Recommended / Not Recommended / Strong Recommendation), and structured strengths and concerns per candidate
    Screening Center — every candidate gets an automated voice screen with a numeric score, a recommendation, and structured strengths and concerns. Recruiters skip first-round phone calls entirely.

    Why It Worked

    Three things made this engagement deliver results a generic ATS rollout wouldn't have:

    1. Agents, not chatbots. Most "AI recruiting" products add a chat window that summarizes resumes. Invenio has 15+ agents in a hierarchy, each with a defined job, success-rate telemetry, and the authority to take actions on live business data — running phone screens, drafting emails, scoring candidates, monitoring pipeline health.
    2. Voice screening removes the worst hour of every recruiter's day. The ElevenLabs + Twilio integration places the initial phone screen autonomously and hands the recruiter a scored, structured analysis. That single capability is the largest single time win in the platform — and it does not exist as a product anyone can buy.
    3. Model- and protocol-agnostic by construction. Five AI search providers running in parallel. A2A for agent communication. MCP for tool exposure. When a better model ships next quarter, Invenio plugs it in. When the agentic era turns into the agentic decade, Invenio is already on the rails.

    What an Agent Hierarchy Actually Does in Production

    For the technical reader: the system is structured as orchestration, not a flat collection of tools.

    • Executive Agent — owns strategy and coordination. Decides which senior agent should handle a new search.
    • Senior Recruiting Agent — executive search, relationship building. Routes work to specialists.
    • Technical Recruiting Agent — technical assessment, skill matching. Routes work to specialists.
    • Screening Agent — resume parsing, skill assessment, AI voice screens with scoring.
    • Communication Agent — email automation, scheduling, follow-ups, candidate comms.
    • Analytics Agent — data analysis, reporting, recruiter performance.
    • Research Agent — market research, candidate sourcing across five AI providers.

    This is what "AI-native" means in practice: not a feature, not a chat window — a hierarchy of agents doing specific work on live business data, every one of them measurable and replaceable.

    Could This Work for Your Business?

    Invenio Search Group fits the Aries Custom Platform Build ICP: a founder-led professional services firm doing $2M–$50M in revenue, with operations that depend on specialized knowledge and client relationships, currently running on a patchwork of generic tools (or, in Invenio's case, no tools at all).

    If you're running a services business on spreadsheets and email — whether recruiting, consulting, agencies, or professional services — and the operational gap is the ceiling on growth, this is the engagement that removes the ceiling.

    Common questions

    Questions buyers ask about this engagement

    How does AI candidate matching actually work in the platform?

    Matching is run by a hierarchy of agents, not a single ranking model. A Research Agent sources candidates in parallel across five AI providers (Gemini, OpenAI, Lutra, Scrapeless, and a custom job-search agent). A Screening Agent parses resumes, scores skill alignment, and runs an automated voice screen via ElevenLabs + Twilio that produces a numeric score, a recommendation (Strong / Recommended / Not Recommended), and structured strengths and concerns. A Senior Recruiting Agent or Technical Recruiting Agent then routes the highest-fit candidates into the right consultant's queue. The recruiter sees the result — a scored, structured shortlist — instead of running first-round screens manually.

    Why build custom instead of using Bullhorn or Loxo?

    Off-the-shelf ATS platforms like Bullhorn and Loxo would have solved roughly 30% of the problem — applicant tracking and pipeline reporting. The other 70% — automated AI phone screens, multi-provider AI candidate sourcing, an Executive→Specialist agent hierarchy that does recruiting work, A2A and MCP-native architecture, and a unified inbox-calendar-CRM-ATS — does not exist as a product Invenio could buy. Building custom on AriesOS produced a multi-agent recruiting OS that's tuned to Invenio's workflow, owned by Invenio, and model-agnostic by construction (new models plug in via config, not a rebuild).

    How is candidate data secured in an AI-powered recruiting platform?

    The platform runs on multi-tenant infrastructure with per-user agent provisioning — each consultant has their own agent instances, their own provider credentials, and their own scoped data access. Inbox and calendar integrations use OAuth (Microsoft 365 and Gmail), so credentials are never stored in plain text. AI providers are accessed via per-user API keys rather than a shared pool, which keeps candidate data inside the consultant's authorized boundary. Because Invenio owns the codebase, the data, and the cloud account, the security posture is auditable end-to-end and not gated behind a vendor's roadmap.

    Want a result like this for your business?

    Start with the AI Readiness Audit — a 2–3 week scored diagnostic that tells you exactly what to build, automate, or buy.