Our approach / From opportunity to useful result
Start with the outcome.
Keep the solution simple.
Websites, lead systems,
and practical automation.
Better technology starts with a clear business problem. We identify the leverage, choose the simplest suitable response, and build it around the people who will use it.
Tell us what you want to improve01 / The working sequence
Follow the work.
Then make the change.
Appointment work, recurring routes and projects have different constraints. The process starts with yours.
Understand the work.
Follow a real request from arrival to completion with the people handling it. Where does information get copied? Who makes the call? What happens when the plan changes? The starting point is the working day, not a software wishlist.
Where does the day get stuck?
Check what you already have.
Look at the systems, subscriptions and practices already in place. An unused feature, a better setup or a clearer handoff may solve the problem without another tool to manage.
Can the existing setup do the job?
Choose for the actual task.
Compare suitable options against the workflow and its constraints. The recommendation might be specialist software, an existing capability, a small integration, a referral to another provider—or no new tool at all. Custom development has to earn its place.
What is the simplest suitable option?
Configure. Connect. Set boundaries.
Adapt the selected tools to the agreed process. Check the exact actions and access each connection allows. Define what can happen automatically, what needs approval and who picks up an exception before using it in live work.
Who can do what, and when?
Prove one bounded workflow.
Agree a narrow scope and a useful measure, then test ordinary work and failure cases. Introduce it with supervision and feedback from the team. Count checking, corrections and exception handling—not just the seconds an automated step takes.
Does it help after the extra work is counted?
Expand only what works.
Review the evidence together. Keep and hand over what is useful; adjust or stop what is not. A next workflow is a separate decision, not an automatic rollout. Clear ownership and a workable way back matter as much as the first demonstration.
Keep, change, stop—or take the next step?
02 / Choosing well
A good demo
isn’t enough.
“An integration exists” is a starting point, not proof that it can perform the action your workflow needs reliably. We check the specific job it has to do.
The right answer can be a better use of what you already own.
- Operational fit
- Does it handle the real sequence, timing and exceptions—not just the clean example in a demo? Can the people doing the work use it in their normal day?
- Exact integration actions
- Can it read or change the specific records you need, with the access your account actually has? Check permissions, plan restrictions and what happens when a request fails.
- Approval & data controls
- Who can view or change information? Which actions require a person’s approval? Understand what data leaves your systems, where it goes and the controls available.
- Support ownership
- Who handles a broken connection, a product issue or a process question? Establish the boundary between the software provider, Peashoot and your team.
- Total cost
- Consider subscriptions, usage charges, setup, maintenance and the team’s time spent checking or correcting work. A low headline price is not the whole cost.
- Ability to leave or change
- Can you export the information you need, retain control of your accounts and change the setup? Understand the exit path before making the workflow depend on it.
03 / A scoped pilot
Something to use.
Something to judge.
We agree the workflow, access, responsibilities and measures before implementation. The scope sets out the deliverables—not an open-ended promise to automate everything.
A map and a reasoned choice
The current workflow, the proposed change, its limits and the people responsible. A recommendation that explains the fit, the trade-offs and why other options were set aside.
A working, bounded setup
Configuration and any agreed integration for the selected workflow. Defined approval points, exception paths and a human fallback, including what must not happen automatically.
Evidence from use, not just a demo
Tests of ordinary and failure scenarios, followed by a supervised rollout. Review net time after checking and corrections, alongside missed handoffs, unresolved exceptions and the team’s experience.
A handover and a decision
Practical guidance for the people using the setup, named owners and agreed support boundaries. A record of remaining limits and a joint decision to keep, change, stop or expand the work.
The measure that matters
Did the work get easier after the checking, corrections and exceptions?
04 / Practical questions
Before we
get to work.
Clear boundaries make a better working relationship.
Will we need to replace our existing software?
Not necessarily. We start by checking what your current systems can already do and where the workflow breaks down. Better configuration or a small connection may be enough. If replacement looks justified, we explain the trade-offs, migration implications and alternatives before you decide.
Are you selling your own AI product or implementing other tools?
Peashoot Labs is an independent implementation practice, not the owner of the third-party products we may recommend. We help select suitable software and make it work within your process. That can include AI tools, configuration, integrations or scoped custom work when needed. An AI product or a custom build is not a required part of the answer.
Will this replace our team?
The people doing the work help us understand the real process, test the proposed change, and identify exceptions. The aim is to remove unnecessary coordination and repetitive admin—not assume that software replaces a role or promise a headcount reduction.
Can AI make decisions or contact customers automatically?
Only where the information, risk, and your operating rules support it. Many useful systems prepare a response or next action while leaving approval with a person. We define those boundaries explicitly and never treat missing information as permission to act.
What happens when an integration or AI step fails?
We agree the fallback before rollout: what stops, how the exception becomes visible, who handles it, and how work continues manually when needed. Testing includes failure cases, not just successful actions.
What does it cost?
It depends on the scope and software. Third-party subscriptions and usage charges are separate from our implementation and any agreed ongoing services. A proposal distinguishes those costs and identifies who holds and pays for each account. We discuss the likely cost drivers and support responsibilities before you commit; a vendor’s pricing or terms may change independently of our services.
Start with one bottleneck
Bring the workflow.
Not a shopping list.
Tell us what keeps getting chased, copied or held up—and what you use today. That is a useful place to start.
Tell us what you want to improve