Strategy and policy
Identify use cases, define the institutional purpose and design the policies and decision rights needed to put AI to work responsibly.
Intelligence & AI
Connect AI policy, agent development and organizational capability to a defined problem, with evaluation and human oversight built into the work.
Before choosing a model or building an agent, clarify what needs to change: the decision to improve, the workflow to support, the people affected and the risks that must be managed.
Heritors Labs brings policy, research and platform engineering into that conversation. Engagements can begin with a use-case assessment, a governance framework, a focused prototype or a learning program.
The work clients can commission
Identify use cases, define the institutional purpose and design the policies and decision rights needed to put AI to work responsibly.
Examine how systems should be used, who remains accountable, and what documentation, oversight and escalation are needed.
Design AI-assisted workflows and agents around explicit tasks, permissions, tools and human approval points.
Define what good performance means, test failure scenarios and prepare people to use, question and operate the system.
A documented foundation
Heritors Labs developed and delivered Ghana’s AI Practitioners’ Guide for GIZ, and is credited as author and designer in the published edition.
The guide is part of our documented AI policy and research record. Agent development and applied-system engagements are scoped around the specific problem; a published guide is not presented as evidence of every engineering capability.
Explore the published guideLearning and capability development
Leaders need to make informed choices. Practitioners need to understand the tools, their limitations and the decisions that require human judgment. We can frame a learning engagement around the work your people actually do.
Explore learning pathways