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Agentic

Supervisor multi-agent system

An orchestrator plans; specialised workers execute; results are merged.

Use it when

Multi-step processes that touch several systems or skills: research and due diligence, back-office case handling, candidate pipelines, anything where one agent's context would overflow.

Structure

The parts, top to bottom

hover a part to see its job

across every level

Hover or tap any part to see what it does. The light shows the order a request moves through.

Flow

What happens, in order

  1. 1Task arrives
  2. 2Supervisor decomposes into steps
  3. 3Workers run in parallel with their own tools
  4. 4Results validated & merged
  5. 5Human checkpoint if needed
  6. 6Final action & report
Tools

What we typically build it with

LangGraphMicrosoft Agent FrameworkGoogle ADKCrewAIA2A / MCP

Trade-offs

Anthropic's orchestrator-worker research system beat a single agent by 90% on its internal eval but used about 15× the tokens of a chat. Reserve it for tasks where breadth of context or parallelism is the bottleneck, and design explicit state and scenario tests.

What we solve

Problems this architecture solves

Generic problem statements with the flow and the outcomes the industry has documented.

Orchestrated multi-agent workflow

Swivel-chair work across systems

Onboarding, reconciliation, procurement and approvals require people to read one system and type into another, with rules that live in someone's head.

How the system works

  1. Trigger (email, form, event)
  2. Orchestrator plans steps
  3. Worker agents read & decide
  4. Confirm risky actions
  5. Update systems & log
LangGraph / Agents SDKMCP tool serversCRM / ERP APIsHuman checkpointsTraces & replay

Outcome: CRM-native agents at a regulated vendor deflected 72% of support cases to self-service and saved 7.5 hours per case handled with AI assistance. Smarsh on Salesforce Agentforce

Architecture
Related

Other agentic patterns

Agentic

Single agent with tools

One model, a toolbox, and a loop that decides what to call next.

Use it when: A conversation or task needs judgement about which system to consult and in what order: customer queries, sales qualification, commerce in chat, internal copilots.

Flow

  1. 1User or event
  2. 2Agent reasons about the goal
  3. 3Calls a tool (search, CRM, calendar)
  4. 4Observes result
  5. 5Repeats until done
Agentic

Computer-use agent for software without an API

A perceive-decide-act loop that drives legacy desktops and web apps through the screen, with approval gates.

Use it when: Systems that have no API or export: legacy ERPs, government portals, partner sites, thick-client tools. Use APIs and MCP wherever they exist; use the screen only where they do not.

Flow

  1. 1Task and policy defined
  2. 2Screenshot captured
  3. 3Vision model reads the screen
  4. 4Click / type / scroll action emitted
  5. 5Sandboxed execution & verification

Let's build intelligent systems that drive growth

Tachyon is the engineering partner for teams that need AI in production, not in a deck. Start with a free 60-minute discovery call.

Contact

Tell us the problem, we will map it to the architecture

Every great partnership begins with a conversation. Whether you are exploring possibilities or ready to scale, tell us what you are actually trying to build.

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Book a call

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