Rule-Based Workflow Automation Retainer Build (10-20 days)
A productized engagement that maps a client's repetitive, rule-based workflows, deploys UI-level bots or prompt-driven agents against the highest-cost candidates, and hands over a monitored automation stack with a documented exception path. Built for agencies that want a repeatable automation offer rather than one-off scripting projects. Time: 10-20 days.
By InnovaAI ResearchPublished
How do you implement it?
Rule-Based Workflow Automation Retainer Build (10-20 days)
A productized engagement that maps a client's repetitive, rule-based workflows, deploys UI-level bots or prompt-driven agents against the highest-cost candidates, and hands over a monitored automation stack with a documented exception path. Built for agencies that want a repeatable automation offer rather than one-off scripting projects.
- A signed scope covering at least one client department and named process owner; read-only or sandbox credentials for every application the workflow touches; a written inventory of the 5-15 candidate processes with current cycle times and headcount cost; agreement on which platform tier (enterprise suite or lightweight prompt-driven tool) the engagement will standardize on; a named agency automation lead who owns the runbook after handover.
- 1.Kickoff with the client process owner and confirm success metrics
- 2.Walk the top three candidate workflows end to end and record screen actions
- 3.Log application versions, login paths, and any MFA or CAPTCHA steps
- 1.Score each candidate on volume, rule stability, and error cost
- 2.Estimate hours saved per month and annualized labor value
- 3.Rank candidates and get written sign-off on the build order
- 1.Provision the chosen platform tenant and user roles
- 2.Set up a staging environment that mirrors production data shape
- 3.Document credential handling and access boundaries for the client's security reviewer
- 1.Build the first bot or agent for the highest-value workflow
- 2.Add input validation and a hard stop on unexpected screen states
- 3.Capture a baseline run against staging data
- 1.Test the first automation against edge cases the client flagged
- 2.Tune selectors, wait conditions, or prompt instructions until the run is stable
- 3.Record failure modes and the manual fallback for each
- 1.Build the second automation candidate
- 2.Wire shared logging so both automations report to one dashboard
- 3.Run a parallel test where staff and bot process the same batch
- 1.Reconcile parallel-run output and fix discrepancies
- 2.Add an approval checkpoint for any step that moves money, changes records, or contacts a customer
- 3.Confirm the exception queue routes to a named human owner
- 1.Move automations into the production tenant with a limited batch size
- 2.Monitor the first production runs alongside the client operator
- 3.Log every intervention and the reason for it
- 1.Write the runbook covering start, stop, retry, and escalation
- 2.Record a short walkthrough video for the client's operations team
- 3.Draft the monthly monitoring checklist and alert thresholds
- 1.Train two client staff on running and pausing the automations
- 2.Hand over credentials, runbook, and dashboard access
- 3.Agree the retainer cadence and the change-request process
Agencies can price this against the labor line it replaces rather than against hours spent building, because a single automated workflow that removes 40 hours of monthly manual entry is worth more to the client than the build cost. The retainer is where margin compounds: monitoring, selector maintenance, and adding one new workflow per quarter is low-variance work that does not require new discovery each month. Enterprise-tier platforms carry higher license costs but support compliance-heavy clients who will not accept a browser extension running unattended, and that compliance posture is itself a reason clients pay a premium.
- Process inventory with volume, cycle time, and annualized labor value per candidate
- Two to four working automations deployed in the client's production environment
- Exception handling runbook with named owners and escalation paths
- Monitoring dashboard with alert thresholds and a monthly review checklist
- Handover recording and trained operator sign-off sheet
The client's named operator can start, pause, and recover each deployed automation without agency assistance, and the monitoring dashboard has logged seven consecutive days of production runs with no unresolved exceptions.