RPA + AI for back-office operations
AI-augmented operations alongside your RPA estate. First-pass yield over 85%.
Document understanding, classification, decisioning, and generative drafting plugged into your UiPath, Blue Prism, Automation Anywhere or Power Automate orchestrator. Six-week process sprints. Three processes in parallel per pod. No open-ended T&M.
Before
AED 18
per invoice
41%
first-pass yield
Bot stalls on Arabic invoice. Human re-keys.
After
AED 3.40
per invoice
88%
first-pass yield
AI agent extracts, decides, posts. Human reviews exceptions.
50+
Back-office automations delivered
71%
Median cost-per-transaction reduction
47→86%
Median first-pass-yield uplift
6 wk
Process sprint, fixed fee
Why RPA estates plateau
Your RPA CoE has automated the deterministic 60%. The remaining 40% is where the cost sits.
The exceptions, the unstructured documents, the judgement calls, the email triage — exactly where the cycle time and the unit cost live, and exactly where pure RPA bots fall over the moment a supplier changes invoice layout or a customer writes the request in Arabic.
Unstructured documents
The bot reads the supplier PDF that was structured last quarter; the supplier changes layout; the bot stalls. Pure RPA cannot read Arabic invoices in the wild, and document understanding is where most of the cost-per-transaction sits.
Judgement exceptions
The exception queue is the cost centre. Routine deterministic steps automate cleanly; the 40 percent that needs a judgement call — credit risk, fraud signal, claim disposition — is exactly where the bot escalates to a human every time.
Arabic-language inbound
Customer emails in Khaleeji dialect, handwritten claim notes, Arabic-script supplier names — the global RPA AI tier is weak here. This is where the cycle time stretches and the auditors find their findings.
Eight hardened processes
Cost-per-transaction economics, before and after.
Drawn from over fifty delivered back-office automations across UAE and KSA banks, insurers, telcos and shared-services centres. Each tile shows the deterministic baseline, the post-engagement target, and the AI services that close the gap.
AP invoicing
Before
AED 18 per invoice
After
AED 3.40 per invoice
Arabic + English OCR · LayoutLMv3 · 3-way match · UiPath SAP post
Claims adjudication
Before
4.2 days first decision
After
9 hours first decision
Donut FNOL extraction · XGBoost triage · SHAP audit row
KYC & onboarding
Before
11 days to onboard
After
36 hours to onboard
Beneficial-ownership extraction · sanctions screen · Power Automate
Procurement exceptions
Before
38% manual rework
After
7% manual rework
Supplier email classification · policy decisioning · Boomi flow
Payroll exceptions
Before
14% queue spillover
After
2% queue spillover
Tabular exception scoring · SHAP explanations · Workday post
Reconciliations
Before
5 days month-end close
After
1.5 days month-end close
OpenSearch case similarity · variance classification · ledger post
Customer email triage
Before
42% misrouted
After
6% misrouted
AraBERT-v2 + mDeBERTa-v3 · VIP routing rules · generative draft
Regulatory reporting
Before
11 analyst-days monthly
After
3 analyst-days monthly
Document extraction · rule-based validation · audit-row generation
The co-existence architecture
RPA bot lane. AI service lane. One orchestrator boundary.
The bot does what bots do well: deterministic steps, screen scrapes, posting. The AI service does document understanding, classification, decisioning, drafting. The customer orchestrator (UiPath, Blue Prism, AA, Power Automate) is the boundary. The audit row lives in the customer audit store, not ours.
RPA bot lane
Orchestrator boundary · REST + queue
AI service lane
audit row → customer audit store (SHAP-explained · regulator-defensible)
Objections answered with evidence
Three things every COO asks. Three production references.
CoE will see this as a threat
Anonymised GBS group, 17 processes in 14 months.
AED 14M annualised cost-out. Zero displacement. The customer RPA CoE ended the programme larger and more senior than it started, with the joint operating model documented and the AI service ownership transferred at handover.
UiPath already has AI
Anonymised UAE tier-1 bank: AP invoicing.
Arabic and English invoice extraction with three-way match and UiPath posting to SAP. Cost per invoice from AED 18 to AED 3.40. First-pass yield from 41% to 88%. Full SAMA and CBUAE control trace. UiPath Document Understanding could not match accuracy on Khaleeji handwriting in the bake-off.
Big-4 IPA experience
Anonymised regional takaful insurer: claims triage.
Document extraction, decisioning, and UiPath posting into the claims system. Mean time to first decision from 4.2 days to 9 hours. Claims-handler productivity up 2.3x. Six-week fixed-fee sprint per process; no partner-plus-pyramid; named senior pod in the SoW.
How we compare
UiPath, Blue Prism, AA, Microsoft and Big-4 — honestly.
The big RPA vendors all say they have AI now. They do, inside their own estates and pricing. Brocode is the AI augmentation layer that unlocks Arabic-strong and generative use cases where the native AI tier reaches its limit.
| Capability | Brocode | UiPath Document Understanding | Automation Anywhere IQ Bot | Power Automate + AI Builder | Big-4 IPA practice |
|---|---|---|---|---|---|
| Arabic-strong document understanding | Surya + PaddleOCR-Arabic + AraBERT-v2 | Weak on Khaleeji | Weak on Arabic | Weak on Arabic | Subcontracted |
| Generative drafting under guardrails | Llama-3.1-70B / Mistral-Large-2 + Llama Guard 3 + NeMo | Limited | Limited | Copilot Studio (Azure-locked) | Subcontracted |
| SHAP-explained decision audit rows | Sometimes | ||||
| Cost-per-transaction commitment in SoW | |||||
| Plugs into customer orchestrator | UiPath, Blue Prism, AA, Power Automate | UiPath-only | AA-only | Microsoft-only | Whatever the customer owns |
| Fixed-fee six-week process sprint Three processes in parallel per pod. | Licence-led pricing | Licence-led pricing | Licence-led pricing | T&M, partner-led | |
| RPA CoE coexistence pledge CoE remains the orchestration owner. | Published commitment | Implicit |
Free download
The Intelligent Automation Economics Pack — 8 Back-Office Processes
Forty-four pages plus the editable cost-per-transaction Excel model and a sample SHAP-explained decision audit row. Drawn from over fifty delivered automations. Median cost-per-transaction reduction of 71 percent. Median first-pass-yield uplift from 47 to 86 percent.
- Invoice processing — AP economics, three-way match, Arabic OCR
- KYC refresh — beneficial ownership, sanctions screening
- Claims triage — FNOL extraction, decisioning, SHAP audit
- Procurement onboarding — supplier email classification
- HR exception handling
- Payroll exception handling
- Expense audit
- Customer onboarding
- Editable Excel cost-per-transaction model
Frequently asked
What COOs and Heads of Shared Services actually want to know.
UiPath Document Understanding handles structured documents inside the UiPath stack well. It is weak on Khaleeji Arabic, weak on generative drafting, and pricing follows UiPath metering. Brocode plugs into your UiPath Orchestrator as a stronger AI tier where Arabic accuracy and generative use cases matter. For pure deterministic English extraction we will tell you UiPath alone is enough.
Talk to an operations lead
Walk us through your top three processes. We will return a costed plan with cost-per-transaction targets.
A Brocode operations lead and an automation architect review your submission and reply within one business day. The first conversation is a 60-minute back-office economics review, not a sales call.
Bring your last quarterly RPA estate report and a sample of your most painful invoices, claims or KYC packs. We will tell you which processes are six-week wins and which need redesign first.
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