Build a workflow
Build a workflow that supports customer discovery, implementation, or migration.
For software companies
AI for software implementations and customer migrations.
We help independent software vendors (ISVs) accelerate customer implementations and migrations with AI workflows built around their platform, delivery team, and specialist expertise.
Discuss your implementation bottleneck ↗The work behind the opportunity
When delivery depends on scarce expertise.
- Specialist capacity limits how many customer implementations can run at once.
- Repeated discovery and preparation consume time your delivery team needs.
- Incomplete requirements and inconsistent handoffs create rework.
We help implementation teams work faster and more consistently, while keeping specialists in control of the decisions that matter.
A workflow worth improving
AI use cases for implementation and migration teams.
Focus AI on the work that consumes delivery capacity. These examples show potential starting points across customer implementations and migrations.
Customer implementations and migrations to your platform.
Illustrative use case / 01
Give implementation teams a stronger start.
Help specialists understand customer needs and prepare implementation requirements with less manual effort.
Discuss this starting point- Start small
- One part of discovery with an implementation team and an agreed set of deliverables.
- Keep people in control
- Specialists validate requirements and resolve open questions with the customer.
- Measure what changes
- Time to a reviewed discovery output and the rework needed afterward.
Illustrative opportunities, not claims of completed deployments. For results from our work with a software company, see the Nue case study.
Proven in customer delivery · Nue
Discovery work reduced from weeks to a day or two.
We built and operate a production system that supports Nue’s specialists from discovery through implementation.
Explore the Nue results ↗In our client’s words
The AI automations they built accelerate our projects by six weeks or more and free up our team to focus on delighting the customer.
Excerpt from Mark Walker’s endorsement.
Read the full endorsement and case study
Ways to work together
Build what’s missing. Improve what’s there.
Training and hands-on support are part of putting the workflow to work. We help your team use and manage what we build, and agree ongoing support around your needs.
Explore our technical expertise ↗Common questions
Built around your delivery team.
Can you work with our delivery and engineering teams?
Yes. We work with your implementation specialists and engineers to understand your platform, customer requirements, and delivery constraints. The scope can cover a focused bottleneck or a broader implementation workflow.
Where could we start?
Start with a part of customer discovery, migration planning, or implementation that consumes specialist time or creates repeated rework. Together we define the deliverables, review responsibilities, and measures of improvement.
Can you improve a workflow we already use?
Yes. We can assess an existing AI workflow, identify weaknesses, and implement improvements. Measures can include specialist effort, quality of reviewed outputs, and downstream rework.
How do you handle data and important decisions?
We agree which information the workflow can use, who can access it, and which decisions need human review. Access, source traceability, and testing requirements are defined around your systems and the work involved.
What happens after implementation?
We train the people who use and manage the workflow, document its operation, and agree responsibilities for ongoing support and improvement.
Discuss your implementation bottleneck.
We’ll start with a conversation about your process, constraints, and where we can help, then agree a useful next step.
Let’s talk ↗