Find the work worth automating
Map repeated work across sales, service and operations. Rank each opportunity by the time it takes today, the data available and the cost of a wrong answer.
AI consulting services from the engineers who build it
AI consulting services from dplyz start with your workflows, data and systems, not a slide deck. The engineers who assess the opportunity can also build it, so every recommendation is one we would put into production.
The problem
Most AI advice stops before the hard part
A strategy deck can list twenty use cases. Choosing one means knowing which records are reliable, which systems allow access and who will check the result. We look at those details first, so the plan reflects what your business can actually run.
What we build01 02 03
Test before you commit
Run the strongest candidate against real cases from your team. Measure accuracy, exceptions and running cost before anyone signs off on a build.
A plan your engineers can build
Turn the findings into an architecture, a sequenced roadmap and the access each step needs. Keep data ownership, permissions and vendor choices explicit.
A working example
From a list of ideas to a first release
An illustrative consulting engagement. The scope depends on the systems and people involved.
Map
Talk to the people doing the work and trace the systems and records each task touches.
Rank
Score each opportunity by value, data readiness and risk. Pick one to prove first.
Prove
Test a working prototype on your own cases and report what passed and what failed.
Plan
Deliver the architecture, the cost to run it and a roadmap your team or ours can build.
Built to hand over
What you receive
Consulting ends in a decision you can act on. If the work continues, the same team can build it as a defined project or an embedded team, and the findings stay useful if you build in-house.
About AI consulting
How are AI consulting services priced?
Pricing depends on the scope of the assessment: how many teams, systems and workflows it covers. We define that scope with you before proposing terms, and quote any build work separately.
Do you only advise, or do you build too?
Both. The advice comes from engineers who build and run these systems. If you go ahead, the same team can deliver the work, or hand the plan to your own engineers.
How is this different from technical leadership?
AI consulting answers what to build with AI and whether it will work. Technical leadership is an ongoing senior counterpart for your engineering team’s architecture and decisions.
Let’s talk about AI consulting
Tell us what you want to change, what you run today and who will use the result.