Waking up the agents…
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AI Automation · Agents & Intelligent Workflows

The parts of your day that shouldn't need a day.

Reading invoices, chasing approvals, updating three systems by hand for one customer reply — we replace that with agents that read context, make the call and only interrupt you when the call is genuinely yours to make.

35+Agents & workflows shipped to live businesses
70%Average manual workload removed per process
4.2sMedian time an agent takes to resolve a case
ops ledger — live today
4 agents on shift0 waiting on you
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11hrs
the average week a 12-person operations team loses to work that's the same decision, made by hand, every single time.
The pattern we keep finding

It's rarely one big broken process. It's forty small ones.

An invoice gets read and re-typed into a spreadsheet. A refund gets approved the same way every time, by whoever's free. A lead sits in an inbox until someone remembers to reply.

None of it needs a person's judgment — it needs a person's attention, which is the expensive part. We find the forty small ones first, then automate the ones that actually move the needle.

What we build

Six ways an agent earns its place on your team.

Not a feature list — this is the actual shape of the work, in the order clients usually need it.

01

AI Agents & Copilots

Purpose-built agents that read context, make a call and take action inside the tools your team already opens every day — not a separate app to check.

SupportOpsSales
02

Workflow Orchestration

Multi-step automations across your CRM, inbox, spreadsheets and Slack, triggered the moment something changes — no manual handoffs between tools.

CRMWebhooks
03

Document & Data Processing

Invoices, contracts, forms and PDFs read, structured and pushed straight into the systems that need them — no re-typing, no copy-paste.

OCRExtraction
04

Predictive Analytics

Models trained on your own history to flag churn risk, forecast demand and surface the anomaly before it becomes a support ticket.

ForecastingChurn
05

Integrations & APIs

Clean connections between every tool you already run, so automations move across your stack instead of stopping at the edge of one app.

OAuthREST
06

Human-in-the-Loop Oversight

Confidence thresholds and approval steps built in from day one, so agents move fast on the routine and hand the rest to a person, clearly.

EscalationAudit log
How an engagement actually runs

Nothing goes fully autonomous until it's been watched doing the job correctly.

This is the literal sequence, with the time each phase tends to take — not a marketing pipeline.

Map the workflow

week 1–2

We shadow the actual process — every click, decision and exception, including the judgment calls nobody's written down anywhere.

Design the agent's scope

week 3

A written line between what the agent decides alone and what it flags for you — signed off before a single automation runs live.

Build & shadow-run

week 4–8

The agent runs alongside your team first. Every decision is logged and reviewed before it's trusted to act without a second pair of eyes.

Deploy & retrain

ongoing

Live monitoring and a monthly accuracy review, so the agent stays sharp as your product, pricing and edge cases change.

One engagement, in numbers

What "70% of manual work removed" looked like for one support desk.

Support triage — 90 day snapshot

anonymized
Tickets handled by the agent4,180
Escalated to a human612 (14.6%)
Median resolution time4.2s
Median time before the agent6h 40m
Refund errors caught in review0
Hours returned to the team / month≈ 310h
Before
After
Ticket sits in queue until someone's free
Agent reads it and responds inside seconds
Refunds approved inconsistently by whoever's on shift
Same policy applied every time, logged and reviewable
Manager spot-checks a handful of tickets a week
Every decision has a written reason attached to it
Complex or angry customers wait the longest
Complex cases are flagged and routed to a person first
"

We stopped hiring for the queue. Now we hire for the cases the agent actually flags — which turns out to be the interesting part of the job anyway.

Head of OperationsD2C logistics client, engaged since 2025
Before you book a call

Questions we get on almost every first conversation.

Will the AI make decisions we can't see or explain?
No — every agent we build logs its reasoning in plain language, and you set the confidence threshold where it escalates to a human instead of acting alone.
Do we need our own AI models or a data science team?
No. We use established models and connect them to your existing tools and data, so you get a working agent without hiring a research team first.
What happens when the agent gets something wrong?
Every agent ships with an escalation path and a review log, so mistakes get caught, traced back to a decision, and corrected — not repeated silently.
How is pricing structured?
The workflow audit and build are fixed-scope, quoted after we've mapped the process. Ongoing monitoring and retraining run as a monthly retainer.
Can this work alongside the tools we already use?
That's the default, not the exception. Agents connect into your existing CRM, inbox and spreadsheets rather than asking your team to adopt a new app.
Let's map your workflow

Curious how much of your week an agent could take off your plate?

Book a free automation audit — we'll walk through your current process and flag exactly what's ready to run itself.

Audit call30 min
First workflow mapped~2 weeks
First agent shadow-running~5 weeks
Fully autonomous, monitoredongoing