Forward deployed engineers across e-commerce and legal. We embed, build AI systems, and stay to run them. See the proof →
This is one capability within our forward deployed model. See our live engagements →
FOR COOs

We embed with your ops team. We deploy AI that actually runs.

Not a consulting engagement that ends with a slide deck. We put AI agents into your workflows — customer service, order processing, warehouse ops — and we stay to run them alongside your team. Measurable capacity improvements within weeks.

What You Need to Know

Your operation is under pressure from two directions: the business wants to scale, and the board wants to do it without proportional headcount growth. AI is the lever that solves both — increasing throughput while reducing cost-per-transaction.

The problem with most AI vendors is they don't understand operations. They deploy technology without understanding process flows, SLA commitments, or what happens when things break at 2am. We come from an operations background. We understand that a system is only valuable if your team actually uses it, and that uptime matters more than demos.

We're forward deployed engineers. We embed directly with your team — joining your standups, using your tools, building in your environment. We ship AI agents that handle real workflows, and then we stay and run them. Your SLAs are our SLAs.

What We Deploy

01

Customer Service Agents

AI agents that handle Tier 1 queries, route complex issues to specialists, and maintain response time SLAs — without scaling the support team proportionally. We run them. You monitor the metrics.

Explore CX agents →
02

Operational Workflow Agents

Order processing, returns management, supplier communications, internal reporting. AI agents that reduce manual touchpoints by 60-80% across your operational workflows.

Explore AI agents →
03

Warehouse Intelligence

AI-driven inventory management, demand forecasting, and stock allocation. Reduce carrying costs while maintaining fill rates and improving sell-through velocity.

Explore warehouse →
04

Headcount Modelling

Model the headcount impact of automation across every department. Natural attrition, redeployment, or growth absorption — with data, not assumptions.

Explore headcount →
60-80%
Fewer Manual Touchpoints
Across automated operational workflows
8 weeks
To Production Deployment
Parallel running, then managed cutover
£380K
Annual Hiring Avoided
Growth absorption without proportional recruitment
15 min
Monitoring Cycle
Real-time SLA tracking across all AI agents

How We Work Together

Discovery call. You tell us where the operational pain is. We identify the quick wins — report automation, joining up disconnected systems, KPI dashboards, manual workflows eating your team's time. No six-week audit. No discovery phase that produces a PDF nobody reads.

Results in two weeks. We start with impactful, easy projects and deliver working systems fast. Your SLAs are maintained throughout. We don't ask you to accept risk — we prove the AI works before anything changes.

We stay and operate. Dedicated Slack Connect channel. On hand 24/7. We embed with your team, educate them on the benefits, and keep rolling out AI across departments. We're sensitive to the impact on staff — this isn't about cutting heads, it's about making everyone more efficient. The agents get smarter. Your ops keep improving.

Frequently Asked Questions

How long until AI agents are running in production?

First quick wins within two weeks. Full AI agents in production within 4-6 weeks. We start with impactful, easy projects and expand as your team builds confidence. The AI runs alongside your existing processes before cutover. Nothing changes until it's proven.

How do you work with my existing ops team?

We embed directly. Our operators join your standups, use your tools, and work alongside your people. Every deployment has a champion from your team. The goal is augmentation — AI handles the repetitive, high-volume work while your people focus on exceptions and decisions that need human judgment.

What happens to headcount when you automate processes?

We model three scenarios: natural attrition, redeployment to higher-value work, and growth absorption (handle 2x volume without proportional hiring). Most clients choose a combination. In one engagement, AI agents avoided £380K in annual recruitment by absorbing projected demand increases.

Can AI maintain our SLAs during transition?

Yes. We run AI alongside existing processes — not as a replacement. Both systems operate in parallel with automated monitoring that flags any SLA risk. We only cut over once the AI has demonstrated consistent performance over 4-6 weeks.

Who runs the AI agents after deployment?

We do — that's the model. We deploy AI agents and then stay to operate them. Your team has full visibility and we train them to understand the systems, but the ongoing monitoring, optimization, and incident response is on us. We stay because we keep delivering.

Your operation can handle 2x the volume. Let's find out how.

The Margin Audit maps your highest-impact automation opportunities — with timelines, capacity projections, and a realistic deployment plan.