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Business Process Automation Services BPA, RPA & AI-augmented workflows

Senior team automating ops workflows with Zapier, n8n, Microsoft Power Platform, UiPath, Automation Anywhere, Make, and Workato. AI-augmented where it earns its place. USD pricing.

We map your workflow, find the bottleneck, and tell you whether automation pays back. Honest math.

$3K+SINGLE WORKFLOW
60–80%AP TIME SAVED
ZapierTO UIPATH
SOC 2AUDIT READY

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Trusted Engineering Force

Who we've built for.

How we work

What we automate
Ops workflows · Sales-ops · Finance-ops · Customer support · Data pipelines · Document workflows
Platforms
Zapier · n8n · Microsoft Power Platform · UiPath · Automation Anywhere · Make · Workato · custom Python on AWS
AI integration
OpenAI · Anthropic Claude · LangChain agents inside automation flows for exception handling and natural-language triggers
Pricing in USD
Single workflow from $3,000 · Multi-workflow program from $9,000 · Enterprise RPA build from $19,000
Compliance
SOC 2 · ISO 27001 · GDPR · HIPAA · audit logging on every automated action
Output
Working automations · runbooks · measured ROI per workflow

You already know what automation is. You are here to find a team that picks the right platform, ships the workflow, and proves the ROI before scaling. The rest of this page covers the platform decision, what we ship, how we run a build, what drives cost, and the questions every ops leader asks before signing.

Industries we serve hardest

Automation maturity and ROI varies sharply by sector. We have the deepest bench in five.

  • Finance and fintechInvoice matching, three-way match (PO to receipt to invoice), reconciliation, regulatory reporting, KYC document processing.
  • Retail and e-commerceOrder routing, refund flows, marketplace sync, customer-service triage, inventory adjustments.
  • Logistics and supply chainShipment exception handling, ETA monitoring, supplier ops, EDI integration, carrier sync.
  • ManufacturingMES data flows, production reporting, supplier integrations, quality-control workflows.
  • Healthcare and life sciencesPrior authorisation, claims processing, patient onboarding, regulated document workflows under HIPAA.

Zapier vs. n8n vs. Power Platform vs. UiPath vs. Make vs. custom code

The platform decision shapes cost, governance, scalability, and what your team can maintain after launch. Here is how six common choices compare.

DimensionZapiern8nPower PlatformUiPath / AAMakeCustom Python
Best forLight SaaS syncSelf-hosted customMS shopEnterprise RPAVisual workflowsLimits of platforms
HostingSaaS onlySelf-host or cloudMicrosoft cloudCloud or on-premSaaS onlyYour cloud
Custom codeLimited (filters)Full JS/PythonLimited (PowerFx)Yes (VB, Python)LimitedFull
Cost at scaleExpensiveLow (self-host)Mid (E3 inc.)HighMidVariable
ComplianceSOC 2Self-managedSOC 2, HIPAASOC 2, HIPAASOC 2You define
Time to first flowHoursDaysDaysWeeksHoursWeeks
Maintenance loadLowMediumMediumHighLowHigh
Audit trailBasicConfigurableStrongStrongBasicFull custom

BPA vs. RPA vs. AI agents — pick the right tool for the workflow

Three patterns, often combined. BPA (Business Process Automation) redesigns the workflow itself, then automates the new flow. RPA (Robotic Process Automation) automates the existing manual workflow without redesigning it. AI agents handle workflows that need judgement, natural-language understanding, or document extraction. Rule of thumb: if the workflow is fundamentally broken, redesign it (BPA). If the workflow works but humans are pushing buttons all day, automate the buttons (RPA). If the workflow needs reading a document and making a decision, add an AI agent. If you do not know which, the scoping call settles it in 20 minutes.

Per Forrester 2026 RPA market research, the global RPA market is projected to grow to roughly $30 billion by 2027. Forrester's primary finding: enterprises that combine RPA with intelligent document processing and decision-making AI see 2x to 3x the ROI of RPA-only deployments.

Decision rules of thumb. Use Zapier or Make for simple SaaS-to-SaaS automation where speed matters more than governance. Use n8n when data privacy requires self-hosting or you need custom JavaScript or Python inline. Use Power Platform when the organisation is already on Microsoft 365 and the workflow touches Outlook, Teams, SharePoint, or Dynamics. Use UiPath or Automation Anywhere for high-volume desktop RPA, enterprise governance, or when attended bots are part of the flow. Use custom Python on AWS Lambda or Temporal when platform constraints become the bottleneck.

Platforms we build on

Zapier and Make

For light SaaS-to-SaaS automation with limited custom logic. Fast to ship, easy to hand off to ops teams. Best when speed and ease matter more than self-hosting.

n8n

For self-hosted automation with code-level control. Best when data privacy, custom logic, or platform lock-in matter. Production-ready since v1.

Microsoft Power Platform

For organisations already on Microsoft 365 or Dynamics. Power Automate plus Power Apps for the UI layer plus Dataverse for the data layer. Best when the workflow touches Outlook, Teams, SharePoint, or Dynamics.

UiPath and Automation Anywhere

For enterprise RPA with attended and unattended bots. Best for high-volume desktop automation, regulated industries, or legacy-system bridging.

Workato

For mid-market integration platform with audit-grade controls and recipe-based workflows. Better at iPaaS than pure RPA.

Custom code

When platform constraints become the bottleneck. Typically Python on AWS Lambda with Temporal or AWS Step Functions for long-running workflows. Best for high-throughput, complex orchestration, or workflows with tight latency SLAs.

Use cases — concrete examples per industry

Finance: invoice three-way match

Receive supplier invoices via email or EDI. Extract line items via OCR plus LLM (Mistral OCR or AWS Textract plus GPT-4o for structured extraction). Match against purchase order and goods-receipt records in the ERP (NetSuite, SAP, Dynamics). Flag exceptions to a human-in-the-loop queue. Approved invoices go to AP automatically. Typical build 6 to 10 weeks. From $9,000. Typical ROI: 60 to 80% reduction in AP processing time.

Sales-ops: lead routing and enrichment

New inbound leads arrive in HubSpot or Salesforce. Enrich via Clearbit, ZoomInfo, or Apollo. Score using rule-based or ML model. Route to the right sales rep based on territory, vertical, deal size. Update CRM with enrichment plus score. Notify rep via Slack with context. Typical build 4 to 6 weeks. From $4,500.

Customer support: tier-1 ticket triage

Tickets arrive in Zendesk or Intercom. AI agent (OpenAI GPT-4o with RAG over help docs) classifies, suggests reply, attempts resolution. If confidence below threshold, escalates to human with full context. Typical build 8 to 12 weeks for production. From $12,000. Typical outcome: 30 to 45% of tier-1 tickets resolved autonomously.

Document workflow: contract review and routing

Inbound contracts (NDAs, MSAs, SOWs) parsed via LLM. Standard terms compared against your playbook. Non-standard terms flagged with suggested redlines. Routed to legal queue with summary. Typical build 6 to 10 weeks. From $10,500.

Industry benchmark

Per Gartner 2026 RPA cost survey, UiPath and Automation Anywhere enterprise licences run $4,000 to $12,000 per bot per year, plus implementation services typically 2x to 4x licence cost in year one. Our fixed-scope alternative ships RPA workflows from $12,000 including implementation.

How we run an automation build

Phase 1: Map (1 week)

Document the workflow as-is. Time each step. Identify the bottleneck honestly. We sit with your ops team for a day, sometimes literally watching them work, to understand what is actually broken vs. what they have learned to live with. Often the real bottleneck is upstream of where automation is being requested.

Phase 2: Design (1 week)

Redesign the workflow (BPA) or document the automation logic (RPA). Pick the platform based on the criteria table above. Write the workflow specification with explicit failure modes (what happens when an upstream system is down, when data is malformed, when a human action is required).

Phase 3: Build (2 to 6 weeks)

Ship and test against real data. Eval against the manual baseline measured in Phase 1. Two-week sprints with weekly demos. Bug fixes during the sprint; feature changes go to the v2 list.

Phase 4: Pilot (2 weeks)

Run in parallel with the manual workflow. Measure error rate, time saved, exception count. Tune the workflow against real volume. Train the ops team that will own it post-launch.

Phase 5: Roll out (2 weeks)

Decommission the manual workflow. Handover docs and runbook. Monitoring dashboards live with alerting. Weekly check-ins for the first month to catch drift.

What drives automation cost

Automation builds vary 3x to 5x in cost depending on six factors.

  • Number of systems integrated. Two systems is baseline. Each additional system adds 20 to 30% depending on API maturity.
  • Volume and SLA. Workflows running 100 transactions per day are baseline. Workflows running 10,000+ per day need queuing, retries, dead-letter handling, monitoring (+30 to 50%).
  • Exception handling complexity. Simple workflows with happy-path-only logic are baseline. Workflows with 5+ exception types need branching logic, escalation queues, human-in-the-loop UI (+25 to 40%).
  • AI involvement. Rule-based automation is baseline. Adding LLM-driven decisions adds 20 to 40% for the AI build plus monthly token cost.
  • Compliance requirements. SOC 2 audit logging, HIPAA BAA, GDPR data-subject-deletion across workflow data adds 15 to 30%.
  • Maintenance burden. Platform-managed (Zapier, Make) is baseline. Self-hosted (n8n) or custom code adds 10 to 20% to ongoing maintenance retainer.

Pricing

Single workflow automation

From $3,000

  • One workflow, two to four tool integrations.
  • 2 to 4 week build.

Multi-workflow program

From $9,000

  • Five to ten linked workflows, eval harness, monitoring.
  • 8 to 12 week build.

Enterprise RPA build (UiPath or AA)

From $19,000

  • Attended and unattended bots, orchestrator, IT Center of Excellence handover.
  • 12 to 20 weeks.

AI-augmented automation

From $6,000

  • Workflow with LLM-driven exception handling or natural-language triggers.
  • 4 to 8 weeks.

Three-way match (AP automation)

From $9,000

  • OCR plus LLM extraction plus ERP integration.
  • 6 to 10 weeks.

Maintenance retainer

From $1,750 / month

  • Workflow monitoring, error triage, platform updates, small changes.

Six tiers covering the common shapes. All fixed scope. Exact scope and pricing locked on the scoping call.

FAQ

BPA when the workflow needs redesigning. RPA when the workflow works but humans push the buttons. AI agents when the workflow requires judgement or natural-language understanding. We use all three in combination on most enterprise builds.

Zapier or Make for simple SaaS-to-SaaS with under 10,000 monthly tasks. n8n when data privacy matters or you need custom code inline. Power Platform if you are on Microsoft 365. UiPath or Automation Anywhere for high-volume desktop RPA. Workato for mid-market iPaaS with audit controls. Custom code when platform limits become the bottleneck.

Time-per-workflow before and after, error rate before and after, total workflows automated per month. We run a manual baseline in Week 1 and report against it weekly post-launch. Typical ROI on AP automation: 60 to 80% time saving. On lead routing: 40 to 60% time saving plus 15 to 25% conversion lift from faster response.

Yes. We add LLM-driven decision steps for exception handling, natural-language triggers, document extraction, classification. OpenAI GPT-4o or Anthropic Claude with eval harness and human-in-the-loop hooks. For pure agent builds see the AI development service.

Every workflow has an exception queue routed to a human reviewer (Slack, Teams, or custom queue UI). Dead-letter queue captures malformed inputs. Retry logic with exponential backoff for transient failures. Failed-workflow alerts to ops via PagerDuty or Slack.

Yes. Maintenance retainers start at $1,750 per month covering monitoring, error triage, platform upgrades, and small workflow changes. Major changes go through a normal scoping process.

Yes. Common migrations: Zapier-to-n8n (cost reduction), Power Automate-to-n8n (data sovereignty), UiPath-to-Python (control). Migration typically takes 30 to 50% of the original build time depending on workflow complexity.

PII redaction on the inbound side before any logging or downstream call. Encrypted storage for any persisted data. Audit log of every action with retention matching your compliance requirements. For HIPAA we sign BAAs and use HIPAA-eligible services only. For GDPR we wire data-subject-deletion propagation.

No. Workflows queue at the integration boundary when upstream systems are unavailable. When the upstream comes back, the queue drains automatically. Failed retries dead-letter after configurable backoff. You see backlog depth in the monitoring dashboard.

Yes. Small changes go through the maintenance retainer. Large workflow changes are scoped as a new sprint. Platform-based automation (Zapier, Make, Power Automate) is generally easier for your team to modify directly post-launch; custom code requires us or your engineers.

Single workflow on Zapier or Make: 2 to 3 weeks from scoping call. Workflow on n8n or Power Platform: 3 to 5 weeks. Enterprise RPA on UiPath or Automation Anywhere: 8 to 12 weeks including pilot.

Yes. Handover phase includes documentation, runbook, monitoring dashboard tour, plus training sessions for the ops team (typically 2 to 3 sessions of 90 minutes each). For Power Platform and Zapier we can build internal Center of Excellence capability so your team owns workflow creation post-handover.