Next live sessionThu, Nov 5 · 11 am ET · 8 am PT · 16:00 UKStarts soon
Win more revenue by taking the waiting out of your workflows.
Use AI on your business workflows to increase revenue is a free, one-hour live workshop. One workflow runs from lead to quote in minutes, AI agents doing the routine steps and a person saying yes where it matters, and you'll see how the result is counted in revenue.
What you'll get
- Where slow steps are costing you sales
- AI agents on the routine steps, your people on the decisions
- Results counted in revenue from a baseline
11 am ET · 8 am PT · 16:00 UK · online, one hour, free
Teams we've built for
- Comic Relief
AWS Premier Tier Services Partner, one of about 300 among more than 130,000 AWS partners.
Let AI agents do the copying and chasing while your people decide.
Most of a workflow is copying, chasing and checking. AI agents do that in minutes, around the clock, and stop for a person's yes where it matters: a price, a promise, a refund.
We measure the result in sales, because that's where it shows. Quotes go out the same day and leads get an answer within minutes, so orders are completed before the customer has time to look elsewhere, and the hours saved come along with that.
What you'll take away from the hour
- 01
Faster to the customer
AI agents turn quotes, follow-ups and orders around in minutes, and a person signs off on anything that matters.
- 02
Your people on the calls
The copying, chasing and checking goes to AI agents, which leaves your team the judgment calls.
- 03
Counted in revenue
We set a baseline before we start, then measure each workflow by the revenue it brings in.
How we pick the workflow and keep it safe
The workflow with the most revenue waiting in it comes first.
- 1
Where speed turns into revenue
Lead response, quotes, onboarding and order handling are where waiting tends to cost a sale, so we look there first.
- 2
The simplest thing that works
We start with a single model call or a fixed workflow, and bring in an AI agent only where neither will do.
- 3
What the AI agent may do alone
We agree which steps it can take alone and which need a person's approval, and we name the person who gives it.
- 4
The baseline
Each workflow's figures are written down before any work starts, and the extra revenue is measured against them later.
- 5
What happens when it's wrong
From day one, each workflow has a fallback, a person to hand over to and a way to undo what it did.
With your workflows mapped, the first one picks itself: the one where AI agents bring in the most, with its measure set before anything is built.
What we bring
The parts your AI agents stand on are already built.
Axiom
A semantic layer that gives every AI agent one meaning of revenue, customer and churn, worked out from the agreed definition instead of guessed, with each answer showing its working.
Runs in your AWS account; any AI agent reaches it over MCP.
AK Run
The operating layer our engineers run your AI agents, applications and cloud on: it watches every signal around the clock, holds every AI agent to the job it was given, and steps in when one goes wrong.
Our engineers own it and answer for it; it runs in your accounts.
One hour, run by the engineers who do the work
See it
One workflow, from lead to quote, run by AI agents with a person's yes in the middle.
Where it pays
How to find the workflows where speed turns into revenue, and the ones to leave alone.
Your questions
Bring the step that's always waiting on someone.
The private workshop: a few hours with your team
Your workflows mapped with the people who run them, and the one where AI agents bring in the most chosen, with its baseline set.
Who comes
The owner or operations lead, the head of sales or customer operations, and the people who do the work.
What to bring
The step that's always waiting on someone, and the numbers you'd like to move.
Your data
Descriptions and a few examples; nothing has to leave your systems.
What you leave with
- Your workflows mapped
- The one to start with, and why
- What the AI agent may do alone, and what needs a person
- The baseline and how it will be measured
What clients say about working with us
Thanks to Armakuni's efforts, the client saw improved operational efficiency and reduced manual workload.
… the project was delivered on time and to budget, in March the following year [the charity] for the first time hit £100m in donations.
Armakuni goes above and beyond to deliver and copes with mistakes instead of hiding them.
- Under 0.25%of AWS partners are Premier Tier. We're one of about 300.
- 500+AWS customer launches
- 1,300+engineers across the UK, US, UAE, India and Canada
- 70%of the proofs of concept we scope reach production
Before you sign up
Does it cost anything?
No. The hour and the private session are free.
Will you automate everything?
No. Some steps are faster and safer with a person, and the map shows which ones.
Will AI agents talk to our customers?
Only where you decide. Many start with the steps customers never see: copying, chasing and checking.
What if an AI agent gets it wrong?
It stops for a person on anything that matters, and every workflow has a fallback and a way back.
What happens after?
The first workflow live in about 90 days, with a go-or-stop at week 4.
Use AI on your business workflows to increase revenue
Thursday, November 5, 11 am ET · 8 am PT · 16:00 UK. Starts soon.
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