Together, we double the impact of your best people
Ability builds AI that collaborates with experts. And we always start small. No long projects, no pilots that are never put into use. AI is only successful when it is deployed responsibly and in the right way.
Together, we double the impact of your best people
Ability builds AI that collaborates with experts. And we always start small. No long projects, no pilots that are never put into use. AI is only successful when it is deployed responsibly and in the right way.
Together, we double the impact of your best people
Ability builds AI that collaborates with experts. And we always start small. No long projects, no pilots that are never put into use. AI is only successful when it is deployed responsibly and in the right way.
Together, we double the impact of your best people
Ability builds AI that collaborates with experts. And we always start small. No long projects, no pilots that are never put into use. AI is only successful when it is deployed responsibly and in the right way.
Our process to value
Our process to value
01
Scope
Together we determine whether an expert agent is a good fit, and if so: which one. What currently demands too much from too few people? Who is overloaded? Where is the knowledge located that you want to make more widely available? The scope phase ends with a clear choice and a go/no-go.
Chosen use case
Success criteria
Go/no-go decision
01
Scope
Together we determine whether an expert agent is a good fit, and if so: which one. What currently demands too much from too few people? Who is overloaded? Where is the knowledge located that you want to make more widely available? The scope phase ends with a clear choice and a go/no-go.
Chosen use case
Success criteria
Go/no-go decision
01
Scope
Together we determine whether an expert agent is a good fit, and if so: which one. What currently demands too much from too few people? Who is overloaded? Where is the knowledge located that you want to make more widely available? The scope phase ends with a clear choice and a go/no-go.
Chosen use case
Success criteria
Go/no-go decision
02
Capture
An AI engineer from Ability sits right next to your expert. Not to build, but to understand: how do they work, what do they know, what trade-offs do they make, where does their judgment lie? That understanding is the raw material for the agent.
Work process mapped
Knowledge sources identified
Agent specification
02
Capture
An AI engineer from Ability sits right next to your expert. Not to build, but to understand: how do they work, what do they know, what trade-offs do they make, where does their judgment lie? That understanding is the raw material for the agent.
Work process mapped
Knowledge sources identified
Agent specification
02
Capture
An AI engineer from Ability sits right next to your expert. Not to build, but to understand: how do they work, what do they know, what trade-offs do they make, where does their judgment lie? That understanding is the raw material for the agent.
Work process mapped
Knowledge sources identified
Agent specification
03
Design
We define what the agent does and what it does not do. Who is the end user, what do they get to see, where is the line between agent and expert? Roles and responsibilities are established before a single line of code is written.
Role distribution of agent and employee
Output format
Responsibilities defined
03
Design
We define what the agent does and what it does not do. Who is the end user, what do they get to see, where is the line between agent and expert? Roles and responsibilities are established before a single line of code is written.
Role distribution of agent and employee
Output format
Responsibilities defined
03
Design
We define what the agent does and what it does not do. Who is the end user, what do they get to see, where is the line between agent and expert? Roles and responsibilities are established before a single line of code is written.
Role distribution of agent and employee
Output format
Responsibilities defined
04
Build
The agent is built based on what Capture has delivered. We connect the relevant systems, test for quality, and make adjustments until the agent works just like your expert does.
Active agent
Linked systems
Evaluation set
04
Build
The agent is built based on what Capture has delivered. We connect the relevant systems, test for quality, and make adjustments until the agent works just like your expert does.
Active agent
Linked systems
Evaluation set
04
Build
The agent is built based on what Capture has delivered. We connect the relevant systems, test for quality, and make adjustments until the agent works just like your expert does.
Active agent
Linked systems
Evaluation set
05
Embed
The agent goes live. We guide the launch, train users, and set up monitoring. At the end of this phase, Ability hands over the agent, complete with a runbook and a dashboard showing what it does.
Agent in production
Runbook
Dashboard
Trained users
05
Embed
The agent goes live. We guide the launch, train users, and set up monitoring. At the end of this phase, Ability hands over the agent, complete with a runbook and a dashboard showing what it does.
Agent in production
Runbook
Dashboard
Trained users
05
Embed
The agent goes live. We guide the launch, train users, and set up monitoring. At the end of this phase, Ability hands over the agent, complete with a runbook and a dashboard showing what it does.
Agent in production
Runbook
Dashboard
Trained users
06
Evolve
An agent that works on day one will already be outdated after six months if you don't maintain it. The evolve phase is a rhythm: weekly quality checks, monthly reviews, and further development based on usage.
Weekly digest
Monthly report
Quarterly review
Model updates
06
Evolve
An agent that works on day one will already be outdated after six months if you don't maintain it. The evolve phase is a rhythm: weekly quality checks, monthly reviews, and further development based on usage.
Weekly digest
Monthly report
Quarterly review
Model updates
06
Evolve
An agent that works on day one will already be outdated after six months if you don't maintain it. The evolve phase is a rhythm: weekly quality checks, monthly reviews, and further development based on usage.
Weekly digest
Monthly report
Quarterly review
Model updates
Our process to value
01
Scope
Together we determine whether an expert agent is a good fit, and if so: which one. What currently demands too much from too few people? Who is overloaded? Where is the knowledge located that you want to make more widely available? The scope phase ends with a clear choice and a go/no-go.
Chosen use case
Success criteria
Go/no-go decision
02
Capture
An AI engineer from Ability sits right next to your expert. Not to build, but to understand: how do they work, what do they know, what trade-offs do they make, where does their judgment lie? That understanding is the raw material for the agent.
Work process mapped
Knowledge sources identified
Agent specification
03
Design
We define what the agent does and what it does not do. Who is the end user, what do they get to see, where is the line between agent and expert? Roles and responsibilities are established before a single line of code is written.
Role distribution of agent and employee
Output format
Responsibilities defined
04
Build
The agent is built based on what Capture has delivered. We connect the relevant systems, test for quality, and make adjustments until the agent works just like your expert does.
Active agent
Linked systems
Evaluation set
05
Embed
The agent goes live. We guide the launch, train users, and set up monitoring. At the end of this phase, Ability hands over the agent, complete with a runbook and a dashboard showing what it does.
Agent in production
Runbook
Dashboard
Trained users
06
Evolve
An agent that works on day one will already be outdated after six months if you don't maintain it. The evolve phase is a rhythm: weekly quality checks, monthly reviews, and further development based on usage.
Weekly digest
Monthly report
Quarterly review
Model updates
Method of knowledge agent?
Discuss with Jan which expert you want to start with
Newsletter
Subscribe to our newsletter
Our partners
Method of knowledge agent?
Discuss with Jan which expert you want to start with
Newsletter
Subscribe to our newsletter
Our partners
Method of knowledge agent?
Discuss with Jan which expert you want to start with
Newsletter
Subscribe to our newsletter
Our partners
Method of knowledge agent?
Discuss with Jan which expert you want to start with
Newsletter
Subscribe to our newsletter
Our partners