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"A process that takes hours actually takes days."
The gap is in the handoffs no one measures. We instrument the value stream end-to-end, surface the bottlenecks, and replace the queueing with orchestrated flow.
01 Service · Workflow Automation
Not replace the people. Replace the queueing.
A process that officially takes four days usually actually takes eleven. The gap is in the handoffs—email in-trays, approval queues, system-to-system re-keying, status chasing. We automate what is plainly mechanical and put AI in the loop where judgement is repeatable. People keep the interesting decisions.
End-to-end orchestration, with AI in the judgement steps.
We automate end-to-end business processes by connecting systems and eliminating manual handoffs — enabling faster, more consistent execution across operations.
We build on iPaaS where it fits, custom orchestration where it does not, and we embed AI agents into workflow steps that need judgement at volume — document reading, triage, exception handling, next-best-action. Every step logged. Every exception traceable.
We do not automate the happy path and ignore the rest. The exceptions are the product.
The questions clients arrive with.
Four briefs we hear repeatedly. If one of these reads like your week, the conversation starts with a value-stream map, not a slide.
/ 02
"Customer onboarding is stuck in email and Excel."
Onboarding, supplier onboarding, claims, compliance — the same shape with different acronyms. One orchestrator, one audit trail, one SLA dashboard.
/ 03
"Legacy systems do not speak to each other and will not be replaced."
You do not need to replace them. iPaaS, event streams, custom connectors, screen-scraping where required — we wire the legacy stack into the orchestrator without rebuilding it.
/ 04
"Our previous RPA broke for six weeks when the screens changed."
Brittle automation breaks; resilient automation degrades. Versioned flows, graceful degradation, roll-back paths — and AI in the judgement steps that absorb the change.
Ten capabilities. One framework.
The orchestration stack we ship to production. AI inside the workflow steps, not next to them. Every step logged; every exception escalated with full context.
End-to-end process mapping
Bottleneck surfacing and value estimation. The handoffs no one measures get measured first.
System-to-system integration
iPaaS, custom APIs, event streams, file-based, legacy screen-scraping where required. The legacy stack stays; the queueing leaves.
AI-in-the-loop steps
Document classification, extraction, triage, sentiment, next-best-action. AI inside the workflow, not as a separate tool.
Exception handling, SLA & audit
SLA monitoring and audit trail across every step. Exceptions escalated with full context, not silently dropped.
Operator & leadership dashboards
Queue depth, ageing, SLA, throughput, exception reasons. The metrics the COO actually defends.
Change-resilient design
Versioned flows, graceful degradation, roll-back paths. The flow degrades; it does not break for six weeks.
“Happy-path automation is easy. The 15–25% of cases that do not fit the flow are the value.”
Talk to an engineerThe tools we build with.
A working summary of what we ship into production today. iPaaS where it fits; custom orchestration where it does not. AI in the judgement steps, not in the integration.
Filter
/ Backend
Orchestration
Process engines and orchestrators—chosen by the cadence and the audit posture, not by the vendor newsletter.
Camunda
Temporal
n8n
Apache Airflow
Custom orchestrators
/ Backend
Integration & iPaaS
Hyperscaler iPaaS where it fits, event buses where the volume demands it.
MuleSoft
Boomi
Azure Logic Apps
AWS Step Functions
Kafka
EventBridge
/ AI
AI in the judgement steps
Actigen for document steps; LLM-powered classifiers; custom models where warranted.
Actigen 2.0
Anthropic Claude
OpenAI GPT
Custom classifiers
/ Frontend
Operator UI & dashboards
For the humans who run the workflow — queue depth, exceptions, SLA at a glance.
React
Next.js
TypeScript
Operator consoles
Exception UI
/ Cloud
Hosting & residency
AWS, Azure, GCP — with UK and EU data residency where the regulator requires it.
AWS
Azure
GCP
UK residency
EU residency
The numbers after the audit.
Outcomes measured the way the COO measures them—on cycle time, straight-through processing and exception cost. Not on automations deployed.
- 40–70%
- Cycle-time reduction on target processes
- 60–85%
- Straight-through processing rate, with exceptions escalated to humans
- Headcount redirected
- From chasing to deciding — not displaced
- SLA visible
- For the first time on processes previously invisible between systems
Ranges reflect outcomes across recent engagements. Per-engagement targets are agreed in writing during Discover.
Get a free consultation
Start the conversation
Have a process invisible between systems? Send the value-stream sketch — and a measured pilot proposal will be returned within the working week.
Three lenses. One discipline.
The AI & Automation practice ships through three connected workstreams. Workflow automation lives in all three—AI inside the workflow steps, generative for triage, observable from the data layer up.
/ 01
AI-Embedded Applications
AI inside the workflow steps, not next to them. Surfaced where the work happens.
Read more / 02Generative AI Solutions
LLMs for classification, summarisation, exception triage — inside a governed flow.
Read more / 03Data-Driven Architecture
Event-sourced flows, replayable, observable. The plumbing the orchestrator depends on.
Read moreWhere this is doing the work today.
Where workflow automation lands first. Filter by industry to see typical flows.
Customer onboarding, KYC refresh, claims lifecycle, credit application, sanction-letter issuance.
Onboarding · KYC · Claims
See
Citizen casework lifecycle, accreditation evidence, evidence-pack assembly across departments.
Casework · Accreditation
See
Publishing & Historic Research
Digitisation project flows, rights clearance, contributor onboarding.
Digitisation · Rights
See
Built for institutions, not for demos.
Why workflow automation with us, and not the iPaaS vendor that ships connectors and walks away.
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We design for the exception
Happy-path automation is easy. The value is in the 15–25% of cases that do not fit the flow — that is where we focus, not the demo.
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AI in the loop, not as the point
LLMs and agents are tools inside a governed flow, not unsupervised operators. The flow is the product; the model is a step.
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Integration scars
We have wired SAP, Oracle, Salesforce, Workday, ServiceNow, Guidewire, Finacle, Flexcube, Mirth and a long tail of bespoke ERPs into orchestrated flows.
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Audit by default
Every step logged, every exception traceable. The audit pack is the byproduct of the orchestrator, not produced on request.
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Independently appraised
CMMI Level 3, ISO 9001, ISO 27001 and ISO 27701 certified. Approved supplier to The National Archives (UK).
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99.1% on-time across 4,000+ projects
Delivery is governed, not optimistic. Every release ships with the runbook, the SLAs and the evidence pack the next reviewer will ask for.
Workflow Automation, independently verifiable.
Engagements where the cycle time bent down, the straight-through rate moved up, and the SLA dashboard appeared for the first time. Filter to widen the view.
Industry
CASE 01
US university research initiative
Reliving History with Geospatial Intelligence
260 years of fragmented historical maps transformed into a georeferenced spatial database for anthropological and land-use analysis. A prominent US university needed to study the historical evolution of Uxeau, France, across multiple centuries of land ownership, taxation, and agricultural activity. The research depended on digitising and harmonising vintage maps dating back to 1759 — each with different scales, formats, and levels of degradation — into a single spatially accurate GIS environment suitable for comparative analysis. 260+ years of historical mapping digitised and layered. Lambert II precision georeferencing using Esri GIS tools. Multi-era land parcel and feature extraction delivered at scale.
“Historical GIS digitisation transformed fragmented archival maps into a searchable spatial database, accelerating anthropological research and long-term land-use analysis. “
Read the case
AI-Powered CT Scan Annotation
30,000+ CT scans annotated at 98.9% segmentation accuracy for AI-driven radiology models. A US-based MedTech AI company developing radiology models for tumour detection and analysis required clinically precise annotation support to accelerate model training and validation. Existing workflows faced rising costs, limited access to qualified medical annotators and growing compliance pressure around handling sensitive patient imaging data.
HIPAA-compliant medical annotation workflows improved radiology AI accuracy, accelerated tumour detection model training and reduced operational costs significantly.
Read the case
Mortgage Foreclosure Data Management
40%+ faster foreclosure data processing with 50% higher accuracy across multi-county property records. A US-based mortgage data company managing property intelligence across more than 155 million properties and 3,000+ counties required a scalable operational model for foreclosure data collection and processing. Their existing workflows relied heavily on manual back-office operations, creating delays, inconsistencies and rising operational overhead across fragmented government data sources.
Standardised foreclosure processing improved nationwide property data accuracy, reduced turnaround times and created a scalable mortgage intelligence operations framework.
Read the case
XHow you can work with us
Three engagement models. One operating standard.
Most workflow engagements are fixed-scope pilots. Where the programme spans many flows, dedicated teams hold the cadence. Augmentation fills capacity without changing the standard.
/ A
Fixed-Scope Projects
A specific process or flow, automated to a measured cycle-time and STP target.
- Best forFirst-flow pilots, single-process automations, proof-of-value with a measurable threshold.
- CommercialFixed price; milestone-based invoicing; clear acceptance criteria.
- GovernanceSoW with cycle-time and STP thresholds; audit-pack spec named on day one.
/ B
Dedicated Teams
A standing pod owning the process portfolio — engineers, integration, ops, support.
- Best forMulti-quarter automation programmes; multiple flows under continuous improvement.
- CommercialMonthly run-rate; team scales up or down on agreed notice.
- GovernanceNamed delivery lead; weekly steering; quarterly business review.
/ C
Staff Augmentation
Senior orchestration / integration engineers attached to your team—under your delivery model, to our standard.
- Best forCapacity gaps; specialist skills (Camunda, Temporal, MuleSoft, Boomi, AI-step design).
- CommercialPer-resource monthly rate; minimum three-month commitment.
- GovernanceYour processes; our credentials and audit posture follow the engineer in.
XIHow we deliver
Four phases. Same rhythm every time.
Workflow automation fails when treated as connectors. It is a value-stream, exception-handling and audit problem in which the connectors are one component.
01
Discover
Process mining, value-stream mapping, exception analysis. The handoffs no one measures get measured first.
02
Design
Target flow, integration map, SLA model, audit posture. The exception cases are designed first, not last.
03
Build
Orchestrator, connectors, AI steps, operator UI, dashboards. Versioned flows; roll-back paths in place.
04
Scale
Operational handover, change management, continuous improvement. The flow degrades gracefully under change.
“A flow that breaks for six weeks when the screen changes is brittle automation, not orchestration.”
Contact us
Trusted by 100+ clients·20+ years in regulated technology·4,000+ projects delivered·99.1% on-time
“We had a 120-step KYC refresh flow across four core systems. SBL orchestrated it end-to-end, with AI in the document and triage steps and the exceptions escalated with full context. Cycle time eighteen days down to four. The auditor turnaround moved from weeks to hours.”Director of Operations UK bank — Workflow Automation — KYC refresh
XIITell us about your project
Send the value-stream sketch. Receive a measured pilot proposal.
Not a sales call. A two-page sketch of the process, the systems and the bottlenecks—and a measured pilot proposal returned within the working week.