Services
Five ways we work with you.
Start where you are: automating a workflow, building an agent or a new product, improving a model, or working out the plan.
Fully managed delivery
Tell us the outcome. We take care of the rest.
Building AI in-house means hiring specialists, managing a team and chasing deadlines. With Dforgia, you hand over the work and stay focused on your business, while we take full ownership of delivery.
Your part
- Tell us the outcome you need
- Share access to the relevant data and systems
- Review progress and sign off milestones
- Plan, staff and manage the entire project
- Design, build, test and evaluate the solution
- Deploy, monitor and support it after launch
No hiring, no team to manage
We bring the AI/ML engineers, data scientists, software and infrastructure specialists the work needs.
One accountable partner
A single point of contact who owns scope, timeline and quality from kickoff to handover.
Agreed milestones
A clear delivery plan with regular progress updates, so you always know where things stand.
Outcomes defined upfront
Success measures agreed before we start, and a working result delivered against them.
Ways to start
Fixed scope, clear outcome, no long commitment.
Automation Pilot
One real workflow automated end to end, with hours saved measured against how it runs today.
Prototype to Proof
A working prototype on your data, plus an evaluation report showing how well it actually performs.
AI Cost & Quality Audit
A review of an existing AI system: quality, evaluation, cost and latency, with a prioritised fix list.
Strategy Sprint
Use cases ranked by value and feasibility, a roadmap, and a recommended architecture.
How we work
Pilot with proof.
- 01
Sample
We start small, on a real slice of your data or one workflow.
- 02
Side-by-side results
You see our system next to what you use today, case by case.
- 03
Cost estimate
A clear running cost at your scale before you commit.
- 04
Build
Production engineering, integration and evaluation.
- 05
Run
Monitoring, updates and support after launch.
Have a workflow you wish ran itself?
Tell us about it. In a short call we'll say honestly whether AI is the right fix, and what a small pilot would look like.