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AI Operations Β· Service 06

Operate like a company twice your size without growing headcount.

Specialized agents (SDR, assistant, operator, researcher) with orchestration and human-in-the-loop.

We design and deploy digital teams with supervision, productivity metrics and a control layer. The agents do the repetitive work; your team handles what needs judgement.

Promise: Every agent has a human owner, an SLA and a cost per task. Measured production, not a pretty demo.

The product

This is what you get in your inbox.

Operations Hub

4 active processes Β· 99.2% SLA

Automated processes

2,302

this week

Hours saved

184h

vs manual

Errors

0.8%

failure rate

Automations

Support ticket triage

1,247

Active

Customer onboarding

89

Active

Invoice categorization

312

Active

Web FAQ replies

654

Under review

Sound familiar?

You have roles that don't scale and hiring more juniors won't solve it

Some internal roles (research, first-line support, initial lead qualification, document processing) are tied to human volume. Hiring more juniors is expensive, slow and churns. And quality swings with the person.

  • Your team grows linearly with business volume β€” no operational leverage.
  • Newly hired juniors take 3-6 months to be productive.
  • Churn in repetitive roles is high and each exit hurts.
  • You've heard about "AI Workforce" but don't know what's real and what's marketing.
  • You want to try without spending €100k on a "transformation" that never reaches production.

How we ship it

We design, deploy and leave agents running with real governance

Not "we set up an assistant for you, good luck". It's an agent with human-in-the-loop, auditable logs, automatic rollback and evals. With a trained internal operational owner. With cost-per-task metrics from day one.

  1. Mapping of automatable roles

    We identify which roles or parts of roles have volume + repetitiveness + reasonable error cost. We tell you where to start β€” and where NOT.

  2. Agent design with human-in-the-loop

    Architecture: base LLM, memory, tools, evals. Explicit usage policy: what it can do, what requires human confirmation, how it escalates.

  3. Full governance from day one

    The 4 layers: HITL at defined checkpoints, encrypted auditable logs, automatic rollback on anomaly, evals that run on every change.

  4. Deployment + owner assignment

    Production rollout. Assignment and training of the internal operational owner (4-8h). Full operations documentation.

  5. Monthly iteration + metrics

    Monthly 1h meeting with the operational owner to review metrics, tune prompts and policies. Continuous cost-per-task reporting.

β†’ The difference between an agent that survives and one that dies in 6 months is governance. It's what almost no one does and what we ship as standard.

Honest filter

Is this for you?

We don't sell to everyone. Here's who it works for and who it doesn't β€” so you can decide with criteria before signing.

It's for you if…

  • Mid-market and enterprise with repetitive operational roles and sustained volume.
  • Organizations with compliance needs requiring traceability and supervision.
  • Companies willing to assign an internal operational owner.
  • CROs/COOs seeking operational leverage without scaling headcount linearly.

It's not for you if…

  • Companies without a structured process for the role they want to automate.
  • Those expecting aggressive headcount reduction in 6 months.
  • Organizations without time for monthly iteration of prompts and policies.

The concrete delivery

What exactly do you get?

What you receive when the service ships. No "discovery phases" billed separately, no "iterations" without scope.

  • Workforce map (roles and automatable tasks)
  • Agent architecture with human-in-the-loop
  • Deployed and monitored agents
  • Control layer (QA, escalations, SLA) and cost-per-task analytics

The promise: Every agent has a human owner, an SLA and a cost per task. Measured production, not a pretty demo.

No surprises

What happens when you book a conversation

After the technical call with your COO/CRO:

  1. Initial call

    45 minutes, no commitment

    We understand candidate roles, current volume, technical and regulatory constraints. Concrete proposal in 1 week.

  2. Weeks 1-2

    Mapping + agent design

    Workshop with area leads. Agent design, usage policy, governance layers. Validation with stakeholders.

  3. Weeks 3-6

    Build + evals

    Agent build with the 4 layers. Set of 50-200 evals to validate behavior. Iteration until thresholds are met.

  4. Weeks 7-8

    Deployment + training

    Production deployment in shadow mode first (human validates every decision for 1 week). Operational-owner training. Documentation.

  5. Month 3+

    Operation + monthly iteration

    Agent in autonomous production with human-in-the-loop. Monthly 1h review to check metrics, tune and improve.

Pricing

How is this service quoted?

Due to technical complexity and integration, 30 minutes of conversation beats a cold quote.

Mid-market / enterprise

$10,000–$75,000

setup / project

+ $5,000–$25,000/mo recurring

Aspirational category, growing fast. High ticket, consultative delivery.

Case studies

What we leave running.
With numbers, not smoke.

See all case studies

Insurance Β· B2B brokerage Β· Mid-market

Insurance brokerage

Processes covered

014

In 14 weeks

β€œWe have one AI "employee" that builds proposals, another that reviews policies and another that updates the CRM. And none of them take vacation.”

β€” Managing Director, Headcount 65
AI Workforce

Professional services Β· advisory Β· SMB

Accounting and tax firm

Internal adoption rate

8%94%

In 6 weeks

β€œIn six weeks the whole team was using the agents daily. The "fear of AI" disappeared the moment it saved them real tasks.”

β€” Managing Partner, Headcount 28
AI Workforce

Retail Β· grocery Β· Enterprise

Physical retail chain

Hours/month freed up

01.840h

In 16 weeks

β€œWe freed up 1,840 hours a month that went back to customers in store. Per-store sales went up without touching marketing.”

β€” Director of Stores, Headcount 1,200
AI Workforce

B2B software Β· analytics Β· Mid-market

Product analytics platform

New-hire onboarding time

6 sem4 dΓ­as

In 8 weeks

β€œNew hires get up to speed with a copilot that knows our entire stack. Goodbye to two weeks of meetings.”

β€” Head of People, Headcount 88
AI Workforce

← Swipe to see more cases

Frequently asked questions

It replaces hours of people on repetitive tasks β€” people still do the judgement work. In 18 months it blocks new hires more than it cuts current headcount.

The company that starts with 5 agents at once ends up with 5 demos nobody uses and a burnt-out team. One well-built, measured and operated for 6-8 weeks. Then we add more.

For internal operational use, risk is low. For roles that decide on people (HR, scoring) reinforced obligations apply. We do governance right from day one β€” adding it later costs 4-5x more.

A person you assign (not necessarily a technical profile). We train them. Without an owner, the agent dies in 6 months when something changes and nobody fixes it. That's the typical failure pattern.

Want to talk through your specific case?

30 minutes of technical conversation, no strings. We tell you what fits, what doesn't and the rough price.

AI Workforce Β· Implementa