# Agentic Solutions - Complete Knowledge Base

> AI-first consulting and development platform specializing in agentic AI systems,
> multi-agent orchestration, and enterprise automation.

## About

Agentic Solutions is a consulting and technology firm focused on designing, building,
and deploying agentic AI systems for enterprises. We combine deep expertise in
multi-agent architectures, knowledge graphs, and real-time AI interfaces to deliver
production-grade solutions that transform how businesses operate.

## Three-Layer Architecture

Our platform is built on a Three-Layer Architecture:

### Layer 1: Interaction Layer
The user-facing interface powered by a real-time AI concierge with voice and visual
avatar capabilities. Handles natural language queries, provides instant responses for
high-confidence answers, and manages conversation context across channels.

### Layer 2: Intelligence Layer
The core reasoning engine that coordinates multiple specialized agents. Implements
confidence-based deferral — when the primary response agent is uncertain, background
research agents are triggered to gather additional knowledge before responding. Includes
the Staff Intelligence Agent for expert escalation on critical topics.

### Layer 3: Knowledge Layer
A persistent knowledge infrastructure combining Neo4j graph database with GraphRAG
optimization for sub-50ms retrieval. Continuously curated by background agents that
monitor industry developments, update the knowledge base, and maintain accuracy scores
above 9.0/10.

## Services

### Agent-Led Engagement (Default)
Proof of Work engagement: our AI agents scope and build your solution. The discovery
conversation on agentic.solutions IS the requirements phase — no separate discovery
project needed. You pay for results, not hours.

- Delivery: Remote
- Timeline: 2-4 weeks
- Includes: Production-ready agent system, integrations with existing tools, error
  handling and monitoring, documentation, 30-day post-launch support

### Principal-Led Engagement
Our founders and senior architects work directly with your team. For enterprise-scale,
regulatory/compliance-heavy, or change-management projects where you want strategic
advisory alongside the technical build.

- Delivery: Hybrid (remote + on-site)
- Timeline: 1-3 months, milestone-based with weekly check-ins
- Includes: Structured discovery, architecture design, production system, integrations,
  testing suite, documentation, team training

### Ongoing Optimization
Post-launch retainer with continuous improvement after your system is live.

- Delivery: Remote
- Timeline: Ongoing (month-to-month)
- Includes: Performance monitoring and alerting, monthly optimization sprints, new
  capability development, priority support, ROI reporting

## Pricing (Proof of Work — pay for results, not hours)

| Service                  | Starting At    | Model                                      |
|--------------------------|----------------|--------------------------------------------|
| Agent-Led Engagement     | $5,000         | $1,500 refundable deposit + pay on acceptance |
| Principal-Led Engagement | $15,000        | $5,000 deposit + milestone-based           |
| Ongoing Optimization     | $1,000/month   | Retainer ($1,000-$3,000/month)             |

The exact investment is scoped together once the work is mapped — start a conversation
with the discovery agent at agentic.solutions. The Agent-Led deposit is fully refundable
if we cannot deliver against agreed acceptance criteria.

## Case Studies

### Case Study 1: Financial Services Knowledge Agent
A major financial services firm needed to consolidate regulatory knowledge across
departments. We built a multi-agent system with specialized regulatory, compliance,
and advisory agents coordinated by an orchestration layer. The system reduced research
time by 73% and improved compliance accuracy from 89% to 97%.

- Industry: Financial Services
- Technology: Multi-agent orchestration, Neo4j knowledge graph, RAG
- Timeline: 14 weeks
- Key Metric: 73% reduction in research time

### Case Study 2: E-Commerce Customer Concierge
An e-commerce platform deployed our AI Concierge to handle product inquiries, order
tracking, and return processing. The voice-enabled avatar handled 82% of customer
interactions without human escalation, reducing support costs by 45%.

- Industry: E-Commerce
- Technology: AI Concierge, voice interface, tool integration
- Timeline: 6 weeks
- Key Metric: 82% automation rate

### Case Study 3: Healthcare Research Automation
A healthcare research organization used our multi-agent system to automate literature
review and evidence synthesis. Background curation agents continuously monitored
publications, while the primary agent answered researcher queries with confidence
scoring and source attribution.

- Industry: Healthcare
- Technology: Multi-agent orchestration, GraphRAG, confidence-based deferral
- Timeline: 10 weeks
- Key Metric: 5x faster literature reviews

## Agent Protocol Endpoints

Agentic Solutions supports multiple agent-to-agent communication protocols:

### MCP (Model Context Protocol)
- Server Card: /.well-known/mcp/server-card.json
- Endpoint: /api/mcp
- Protocol Version: 2025-03-26
- 6 tools available: get_service_catalog, assess_fit, request_proposal,
  get_case_studies, check_availability, get_site_health

### A2A (Agent-to-Agent)
- Agent Card: /.well-known/agent.json
- Endpoint: /api/a2a
- Capabilities: service-discovery, fit-assessment, proposal-generation,
  knowledge-retrieval, availability-check

### UCP (Universal Commerce Protocol)
- Catalog: /.well-known/ucp/catalog.json
- Endpoint: /api/ucp
- 3 services listed with pricing

### OAuth 2.1 Authentication
- Metadata: /.well-known/oauth-authorization-server
- Supports: authorization_code, client_credentials, refresh_token
- PKCE: S256 required
- Scopes: read:catalog, read:cases, write:proposals, agent:read, agent:write, agent:execute

## Technology Stack

- Frontend: Next.js 15 + React 19 + TypeScript + Tailwind CSS 4
- Backend: FastAPI / Node.js
- Database: Neo4j (knowledge graph) + PostgreSQL/Supabase (relational)
- AI: OpenAI / Anthropic Claude + ElevenLabs (voice)
- Real-time: WebRTC + Web Audio API
- Protocols: MCP, A2A, UCP, OAuth 2.1

## FAQ

### What is agentic AI?
Agentic AI refers to AI systems that can take autonomous actions, use tools, and
coordinate with other agents to accomplish complex tasks. Unlike simple chatbots,
agentic systems can plan multi-step workflows, access external data sources, and
make decisions based on confidence levels.

### How does the confidence-based deferral work?
When the primary response agent receives a query, it assesses its confidence in
providing an accurate answer. If confidence is below the threshold, it defers to
background research agents that query the knowledge graph, external sources, and
potentially escalate to the Staff Intelligence Agent for expert review.

### What industries do you serve?
We serve financial services, healthcare, e-commerce, technology, manufacturing,
and professional services. Our multi-agent architecture is adaptable to any domain
that benefits from knowledge automation and intelligent process orchestration.

### How do external agents connect?
External agents can discover our capabilities through standard protocol endpoints
(MCP server card, A2A agent card) and authenticate via OAuth 2.1 with PKCE. The
agents.json file at the site root provides a comprehensive API directory.

### What is the typical engagement timeline?
Strategy consulting engagements run 4-8 weeks. Development projects typically span
8-16 weeks depending on complexity. Enterprise integrations may extend to 24 weeks
including training and support.

### Do you offer ongoing support?
Yes. All development projects include a 90-day post-deployment support period.
Enterprise integration and AI Concierge Platform services include ongoing support
as part of the retainer or subscription.

## Contact

- Website: https://agentic.solutions
- Email: hello@agentic.solutions
- Sales: sales@agentic.solutions
- Agent Discovery: /llms.txt (summary), /agents.json (API directory)