Production Implementation
Take a Proven Automation Into Production
Harden a validated workflow for real users, real data, security, monitoring and scale.
This stage exists because the Sprint already proved the economics. Scope comes from what the Sprint found, not from a proposal written before anyone looked.
- Fixed scope
- Measurable ROI
- Human-in-the-loop
- Works with your existing stack
Trusted on complex technology delivery
Does any of this look familiar?
These are the symptoms we see before the numbers get measured.
- A proven workflow is running on test data and needs real users
- Security and IT require review before anything touches production
- The pilot works for one team and has to serve several
- Nobody owns monitoring, alerting or the failure path yet
- Access is running on a developer's credentials
- Volumes in production are an order of magnitude higher than in the proof
What this process costs you today
Before anyone talks about technology, it is worth knowing the number you are trying to beat.
A worked example
Modelled estimate4 employees × 10 hours/week of repetitive processing = 2,080 hours/year.
At $45/hour loaded cost
$93,600
annual process cost
If automation removes
70%
of the manual effort
Recoverable capacity
$65,520
per year
The full-scale process the Sprint proved on a slice — production is where the whole number is recovered.
Now run it on your own volumes
Your current process
Assumptions
- Fully loaded hourly cost of the staff running the process at full volume
- Rework estimated at 1.5x the original handling time per failed transaction
- Automatable share taken from what the Sprint actually measured, not an assumption
- Payback modelled against a typical production implementation investment
Your estimated opportunity
Modelled estimate- Current estimated annual cost
- $483,750≈ 6.5 FTE of manual effort
- Potential automatable effort
- 60–80%
- Indicative payback
- 3 months
- Potential annual opportunity
- $290,250 – $387,000
Directional planning estimate based on your inputs — not a quote or a substitute for finance sign-off.
How we work
- 1
Map
Sit with the people doing the work and document the process as it actually runs — including the workarounds nobody wrote down.
- 2
Measure
Establish a baseline: volume, handling time, error and rework rate, and what the process costs you today.
- 3
Build
Redesign the workflow and build it against your real systems and data — not a mockup or a slide.
- 4
Validate
Test against edge cases, confirm exception handling and approval gates, and measure the result against the baseline.
- 5
Deploy
Move into production with monitoring, runbooks and training — or recommend against it if the numbers do not hold up.
Before and after
Today
- Works on a sample of real data
- Runs on developer credentials
- One team, one happy path
- Failures noticed by whoever is watching
After
- Runs at full volume on live data
- Service accounts with least-privilege scopes
- Multiple teams, edge cases handled explicitly
- Monitoring, alerting and a documented triage path
What we automate
- Scaling a proven Sprint workflow
- Multi-team and multi-entity rollout
- Security and compliance hardening
- High-volume processing
- Production monitoring and alerting
- Handover and team training
What you receive
The discovery call scopes your needs. Before paid work starts, your proposal confirms the deliverables, acceptance criteria, fee and any ongoing software or support costs. The call does not commit you to a project.
- Production architecture and integration design
- Authentication, permissions and service accounts
- Audit logging and retention aligned to your policy
- Monitoring, alerting and escalation paths
- Automated testing and UAT sign-off
- Deployment, runbooks and documentation
- Team training and a warranty period
What the numbers say
Every figure is labelled by where it comes from — measured customer results, industry benchmarks, modelled estimates, or commitments we make to you.
Evidence
75%
Reduction in onboarding time, in production
Industry benchmarks are drawn from published automation research and our own delivery baselines. We will share the specific source and assumptions behind any figure here on request — and during the Assessment we replace them with measurements from your own process.
What we commit to
4–5 weeks
Typical production build after a proven Sprint
Scoped
From Sprint findings, not from guesswork
UAT
Sign-off from your team before go-live
Technology we build on
We are not tied to one platform. The right tool depends on the workflow, your existing stack, and what you can maintain.
How we keep it safe
Human approval gates
You decide which decisions an automation may make alone and which require a person. Thresholds are configured to your policy.
Exception handling
Anything ambiguous, incomplete or out of policy routes to a named owner with the reason attached — it does not fail silently.
Audit trail
Every action is logged: what ran, on what input, what it decided, and who approved it. Built for audit and incident review.
Least-privilege access
Automations connect through credentialed, scoped integrations you grant and can revoke. Your systems stay the system of record.
How engagements run
Each stage is a decision point. You only continue if the previous stage justified it.
Process Assessment
Map one process, quantify what it costs today, and get a fixed implementation recommendation.
Fixed fee, credited against a SprintStage 2Automation Sprint
Redesign and build the workflow, then prove whether the economics justify scaling it.
Fixed scope, fixed feeStage 3Production Implementation
Harden a validated workflow for real users, real data, security, monitoring and scale.
Scoped from the Sprint findingsStage 4Managed Automation
Keep automations reliable as systems, rules and volumes change.
Monthly retainerFAQ
Production Implementation FAQs
Next step
Discuss production rollout
If a Sprint has proven the case, the next conversation is about scope, access and timeline.