Obsessed with agents.

Management consulting for agent implementation.

Agentolics diagnoses broken workflows, designs agent systems, and ships production fixes fast. We sit between strategy decks and generic dev shops: hands-on enough to build, senior enough to reframe the operating model.

Request an intervention See the intervention model

5 day diagnostic

4 week intervention sprint

1 partner from triage to handoff

Intervention board

Diagnostic Design Build Validate Handoff

Support triage queue · Critical · SLA at risk

What we stabilize

tool access + permissions
prompting + memory design
routing + escalation logic
measurement + guardrails

Why this positioning works

The market talks scale. Buyers still need intervention.

Most firms sell broad AI transformation, platforms, or managed services. The white space is fast, senior, workflow-level implementation: diagnose what is broken, fix the workflow, and leave the client with a system they can actually run.

Strategy without shipping

You get a roadmap, a capability model, and a long list of use cases. The workflow is still broken on Monday.

Automation without redesign

Bots are layered onto messy processes, so the handoffs stay messy and exceptions explode.

Pilots without operators

A smart demo ships, nobody owns observability, and the agent quietly fails in production.

What Agentolics does

Diagnose, build, repair, and operate agent workflows.

The offer is intentionally narrow: not generic AI transformation, not chatbot theater, and not staff augmentation disguised as strategy.

Diagnose

Find the real breakpoints across process, tooling, data, governance, and ownership.

Build

Design agent workflows, tool access, prompts, memory, escalation logic, and human-review guardrails.

Repair

Stabilize misbehaving copilots and agent systems already in pilot or production.

Operate

Set up intervention dashboards, evaluation loops, ownership rituals, and handoff docs.

The intervention model

Three ways to buy the work.

The commercial model is designed around how buyers actually move: diagnose first, intervene second, then decide whether to embed.

Most useful first offer

Agent Diagnostic

One week. One workflow. One decision memo you can actually execute.

workflow decomposition
failure map and root causes
agent suitability score
recommended architecture + next sprint plan

Rapid Intervention Sprint

Two to four weeks. Fix the problem, ship the workflow, train the team.

agent workflow design
integration and guardrails
human-review paths
launch checklist + operating cadence

Embedded Agent Office

Ongoing. A lightweight partner for roadmap, triage, and production operations.

backlog and prioritization
intervention desk ownership
measurement and retraining loops
cross-functional enablement

How an intervention runs

01
Triage the failure

What is stuck, where it breaks, and what the business risk actually is.
02
Decompose the workflow

Separate deterministic steps, judgment calls, and exceptions.
03
Design the agent system

Tools, prompts, context, memory, routing, and human checkpoints.
04
Ship guarded automation

Release the workflow with observability, rollback paths, and explicit owners.
05
Measure and hand off

Define KPIs, review exceptions, and leave behind an operating rhythm.

Why clients buy this instead of something broader

The budget line is AI transformation. The buying need is execution.

Positioning comparison

Use this table in sales conversations to explain the wedge.

On mobile: swipe horizontally to compare all columns. The first column stays pinned for easier scanning.

✓ yes △ partial ✕ no

How Agentolics compares across workflow diagnosis, implementation, and operating support.
	Strategy firm	Dev shop	Automation agency	Agentolics
Starts with workflow diagnosis	△	✕	△	✓
Ships working implementation	△	✓	✓	✓
Fixes broken pilots already in market	✕	△	△	✓
Includes guardrails and intervention ops	△	△	△	✓
Vendor / model neutral	△	✓	△	✓

Adapted from the triage template

Turn the bug tracker pattern into an intervention desk.

Instead of reporting software bugs, the form captures broken workflows, business impact, and the current stack. Submissions are captured instantly so your team can review and prioritize intervention requests without losing context.

Fields marked are required.

1. Workflow context

Workflow or function Name the exact workflow team members recognize internally. Business function Severity Current stack List your primary systems in the order they appear in the workflow.

2. Failure and desired outcome What is breaking? Include failure triggers, current workaround, and who gets pulled in. Desired outcome Focus on measurable outcomes like cycle time, escalation rate, or quality.

3. Timing and contact

Time sensitivity Contact email Use a work email so we can reply with triage questions.

Privacy and follow-up: demo submissions stay local to this browser. If you email us directly, we only use your details to respond about your intervention request.

Need a faster path than the full form?

Choose the intake channel that fits your urgency. If the workflow is actively breaking production, use email so we can triage immediately.

Email urgent intervention See intervention packages

What happens after contact

Within 1 business day: response with follow-up triage questions.
In 5 days: workflow diagnostic and breakpoint map.
In 2–4 weeks: production intervention sprint for fixes and handoff.

Before you submit

Bring one concrete failing workflow, a named owner, and at least one measurable target (cycle time, escalation rate, or quality score).

What success looks like

Measure the operating change, not the AI theater.

The site is structured around the KPIs that matter once agents move from demo to production. Replace these placeholders with your actual baseline and target metrics.

Cycle time Down

Less time between intake, routing, action, and resolution.

Exception volume Down

Fewer workflows falling back to manual rescue or hidden escalation.

Human touchpoints Smarter

Humans intervene at the right step, not on every step.

Auditability Up

Explicit logs, decisions, and rollback paths for regulated or high-risk work.

FAQ

Questions buyers will ask.

When should a client use agents instead of conventional automation?

Use agents when the workflow includes variable inputs, reasoning, retrieval, decision routing, or exception handling. Use conventional automation when the work is deterministic and stable enough to hard-code.

Do you work with the client’s existing stack?

Yes. The positioning is deliberately vendor-neutral. The promise is workflow performance, not model loyalty.

Can you fix an existing pilot instead of starting from scratch?

Yes. “Repair” is one of the clearest wedges in the offer. Many clients will arrive with something half-working, under-owned, or failing under real production load.

Do you stay involved after launch?

That is the Embedded Agent Office offer: intervention desk ownership, KPI review, retraining loops, and roadmap prioritization.

Before you decide

What a successful intervention leaves behind

Documented owners for each handoff and exception path.
Review rhythm tied to measurable workflow KPIs.
Audit-ready notes so decisions are transparent, not tribal knowledge.

Final call to action

Need an agent intervention, not another AI deck?

Start with the diagnostic. One workflow, one week, one decision the team can act on.

Request an intervention