We stay until your AI agents run in production.
Addo Forward embeds engineers, researchers and a deployment strategist in your team. We pick one workflow, measure it, build the agents, and stay accountable until they hit the target you signed off.
Your deployment team sits with the people who do the work today, not in a separate innovation lab.
Local teams, in your time zone, on site when the work needs it.
We staff from the hub closest to you and travel to wherever your operations run. Working languages include English, Arabic, Urdu, Bahasa and Malay, with clients across four continents.
San Francisco
Dubai
Singapore
Lahore
Who shows up on day one.
A first deployment usually has three to six Addo people working alongside one named owner from your business.
Deployment strategist
Picks the workflow, sets the baseline and target, and runs governance with your leadership.
Forward-deployed engineer
Connects your systems, configures the agents and owns the production rollout, on site or embedded remotely.
Applied researcher
Builds test sets from your real cases and adapts models where off-the-shelf templates fall short.
Your workflow owner
The person who knows the work best. They define what good looks like and sign off every step up in autonomy.
Four people, a few hours, and access.
Four phases. A clear exit from each.
Each phase ends with a decision your team makes, based on numbers both teams can see. Your workflow owner signs off every exit.
Choose and baseline
Shadow your team, score candidate workflows, pick one and measure how it performs today.
Exit: a signed baseline and target.
Configure and connect
Map the workflow in Addo Context, our model of how your work runs. Configure the agents and test them on real past cases.
Exit: agents pass the test set in shadow mode.
Go live in stages
Agents take real volume in three steps, each unlocked only when accuracy is proven.
Exit: target met four weeks running.
Extend and hand over
Reuse what we built for the next workflow, and train your team to run what's live.
Exit: your team runs it day to day.
Three steps, each unlocked by proven accuracy.
Our commitment: if the agents miss the target you signed off, we keep working on that workflow until they hit it.
Is this a good first workflow?
A short version of the scorecard our strategists use in week one. Describe one workflow below.
Your data stays where it has to.
Choose the setup that matches your infrastructure and compliance rules. The deployment method is the same in all four.
Fastest start. Hosted, updated and monitored by Addo, with your data logically isolated.
Single-tenant infrastructure reserved for you, in the region you choose.
Runs in your own cloud account. Data never leaves it, and you control upgrades.
Air-gapped in your data centre, maintained on site by our engineers.
ISO/IEC 27001 certified. Every agent decision is logged and traceable. Read about Addo Control →
The baseline is measured with your team, in your systems, before we build anything.
Results you can check without us.
After launch, the same numbers appear in Addo Control, our monitoring dashboard, and in your own reporting.
Three ways to work with us.
Choose by how much of the day-to-day running you want to keep in house.
Pilot to production
One workflow, taken from selection to live operation.
- Duration: Fixed scope, agreed in the scoping sprint
- Who runs it: Addo, with your workflow owner
- Pricing: Fixed fee, platform licence included
- You end with: One live workflow, ready to extend
Managed agents
We operate, monitor and improve your agents for you.
- Duration: Ongoing
- Who runs it: Addo
- Pricing: Tied to volume, outcome-linked available
- You end with: The results, without running it yourself
Build, operate, transfer
We build your AI programme, run it with your team, then hand it over.
- Duration: Agreed per programme
- Who runs it: Addo first, then your team
- Pricing: Fixed fee per phase
- You end with: The platform, the know-how and a trained team
Start with a two-week scoping sprint.
A deployment strategist shadows your team, scores your candidate workflows and leaves you with a ranked shortlist and a measured baseline.