Understand
Workload + baselineStart with the actual work.
Map a recent job, its inputs, people, systems, and exceptions. Establish the baseline and the business reason to change.
Our approach
From business bottleneck to an accepted result.
A clear delivery process: understand the current cost, define the outcome, test representative work, and launch with named owners. Productcraft owns execution and correction within the agreed scope. Your team owns the business decisions reserved to it.
Design
Service agreement + acceptance criteriaDefine what useful completion means.
Choose the simplest suitable approach. Define allowed actions, source access, quality checks, and the decisions reserved to people.
Validate
Evaluation results + failure handlingTest the ordinary and the awkward.
Evaluate representative cases, incomplete inputs, contradictions, and tool failures. Check the result and the effort needed to review it.
Launch
Delivery schedule + named ownersMake responsibility explicit.
Agree deployment scope, review capacity, operating ownership, support, and rollback or handover needs before the workflow starts real work.
Improve
Operating review + improvement planLet evidence guide what comes next.
Review accepted results, turnaround, corrections, and operating cost. Expand only when the evidence supports it.
Make the invisible visible
See the checks
between the steps.
Walk through a synthetic onboarding example. Notice how missing information becomes an explicit exception, and final approval stays with the account owner.
STEP 1 OF 4
Gather the inputs
Three synthetic client records arrive with an intake form and supporting documents.
03 records received
Synthetic records. Demonstrates the workflow, not production performance.
Clarity before commitment
Questions worth asking.
What does Productcraft deliver?
A defined piece of recurring business work, such as a checked client handoff pack, a proposal ready for commercial approval, or a reconciled weekly report. Your service agreement sets the deliverable, completion standard, and responsibilities.
What makes the service AI-native?
AI and software are built into how the work gets done. They gather context and prepare outputs, while business rules and human judgment support quality, exceptions, and reserved decisions. Productcraft owns delivery within the agreed scope.
How do we start?
Describe one recurring job, its frequency, and who handles it today. We assess the inputs and completion standard, then propose a focused pilot with agreed deliverables, fees, and timing.
What do we still need to do?
Provide the agreed inputs and a person who can make reserved business decisions. We specify your review responsibilities before starting. Productcraft handles preparation, agreed checks, and corrections within scope.
What happens if work needs correcting?
Work that misses the agreed standard follows the correction process in your proposal. We make missing inputs and exceptions visible, assign an owner, and recheck corrected outputs. Scope changes are discussed separately.
How often will we receive work?
Delivery follows the schedule agreed for your workload, such as per new client or per reporting period. Turnaround, volume limits, and what happens when inputs are late are specified before work begins.
How is the service priced?
Setup and pilot fees are quoted separately from ongoing delivery. Recurring pricing reflects the defined workload, volume, quality checks, and human review required. Per-result pricing can be agreed where acceptance is measurable.
Can we use our existing tools?
We assess your CRM, documents, spreadsheets, and other systems during scoping. Depending on available access, the service can use approved integrations, exports, or a documented handoff.
How we build the value
The model is one part.
The service is the whole system.
Our product approach combines reusable delivery systems with your operating rules. The innovation is in reliably moving work from a request to an accepted result—and learning where the process needs to improve.
Connect the work
Permissioned integrations bring the right records into the workflow and move approved results into the systems your team uses.
Execute with business logic
Models interpret unstructured inputs. Conventional code handles calculations, validation, duplicate checks, and repeatable rules. Agents coordinate only the steps that need flexibility.
Evaluate the result
Representative cases and failure scenarios test the whole workflow against an acceptance standard, including missing inputs, incorrect outputs, and unavailable tools.
Give people useful control
An interface for requests, status, evidence, approvals, and exceptions supports the service. Reviewers receive context and authority, not just an approve button.
Operate and recover
Agreed retries, logs, escalation, correction, and ownership make failures visible. A draft is not marked complete simply because a model produced it.
Improve the service economics
Track accepted results, review effort, rework, turnaround, and cost per accepted result. Use reviewed failures to improve rules and evaluations before expanding scope.
What the customer purchases
A defined workload and acceptance standard, supported by software and human judgment. Setup and recurring delivery can be scoped separately; per-result pricing is appropriate only when acceptance can be measured. Implementation and operating commitments are specified in each engagement.
Delivery around your existing tools
The right records in.
Checked work back.
Your CRM, ERP, HR, finance, and collaboration tools remain the source of record. Productcraft designs a connected service around the job, with approved results returned to the workflow your team uses.
- 01Keep your systems
Use current records, permissions, and business ownership.
- 02Connect with permission
Read through suitable APIs, scoped connectors, or agreed exports.
- 03Prepare + check
AI interprets inputs; code checks rules; people approve reserved actions.
- 04Deliver + confirm
Return checked results through an approved write or human-reviewed import.
Fit before expansion.
See the technology behind deliveryWe assess supported interfaces, data quality, rate limits, access controls, and write safety. Where a tool cannot support the workflow, we disclose the change or manual handoff required. Keeping your systems is the design preference, not a promise of universal compatibility.
Your next business outcome
What would you like
taken care of?
Bring one recurring job. We’ll discuss the deliverable, the work we can own, and a focused first service.