Tier 3: Workflow Agents
L3 is where an agent executes a multi-step workflow autonomously: a human sets the goal and reviews; the agent picks steps, calls tools, retries, and produces the deliverable. This is BOD's entry point, and where the targeted 90-day pilot lands. L3 is where workflow economics show up, not user productivity: a function gets faster and cheaper.
The industry-standard "climb the stack" story tells portfolio companies to start at L1, build to L2, hope to reach L3, and dream of L4. That story keeps the systems integrator employed. It doesn't deliver EBITDA.
BOD inverts it. We start at L3 because L3 is where workflow economics show up: cost-per-task replaces cost-per-seat as the metric. One targeted pilot (the single highest-ROI workflow, shipped production-grade in 90 days) proves the economics and wins the adoption argument.
From that anchor we move in three directions: Down into the L2 substrate, as the agent's grounding needs surface. Up into L4 multi-agent orchestration, as the workflow earns it. Re-incorporate L1 humans at the escalation edge, not as the default operator, but as the exception handler.
The 80% chat-and-copilot adoption isn't the destination. It's the surface area that exists after the workflow is automated.
BOD starts where workflow economics compound, then expands down into the substrate, up into multi-agent orchestration, and re-incorporates L1 humans at the escalation edge.
| Function | In practice | Signal |
|---|---|---|
| Finance | Variance, narrative and board-deck agents, chained, evaluated, observable | FP&A 10d → 2d |
| Sales | The agent enriches, scores and routes leads; humans close | Conversion uplift |
| Support | Agent drafts the reply; human reviews; ticket closes faster with audit trail | AI-first triage |
| Legal | Agent feeds the deal desk a risk-scored summary | Not a 60-page redline |
| Engineering | Claude Code / Cursor Agent in CI opens PRs from failing tests & lint debt | PR throughput 2× vs L1 |
L3 is where the pilot proves the economics. Edge Deploy drops a production-grade agent into your stack in 90 days: finance variance, sales SDR, support tier-1, AP, recruiting, product research. Each is built to run on Edge Scale, our Agent Ops control plane: governance, audit, cost attribution, RBAC, SSO, and a managed tier targeting 99.9% SLA.
Close-to-commentary cycle compressed 10d → 2-3d. Variance agent reads the close package, drafts commentary, flags exceptions, routes to the CFO for sign-off.
Research → personalization → send → reply classification → meeting. Pipeline doesn't grow because reps work harder; it grows because the agent works while reps sleep.
Agent drafts the reply; human reviews. Deflection moves from 30% (L2) toward 70%+, without losing the long tail that needed a human.
Invoice intake → matching → approval routing → exception escalation. Pairs with Ramp / AppZen where appropriate.
Inbound screening → scheduling → first-round scorecard. The recruiter takes the shortlisted candidates into final rounds, not the inbox triage.
The agent watches usage signals, drafts feature briefs, summarizes user research, builds the PM the agenda for the weekly review. PM ships, doesn't curate.
Edge Deploy ships production-grade agent blueprints: finance variance, sales SDR, support tier-1, AP, recruiting, product research. Drop one in, measure it, and expand on the numbers.
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