Home / Enterprise AI Workflows
Enterprise AI workflows, mapped step by step.
23 automations we design and build for banks, insurers, finance teams and large organisations. Each one shows the trigger, what the AI does, which systems it connects, where a person stays in control and how success is measured.
How every workflow is built
AI does the work. People keep control.
We never automate a process we have not mapped. Every workflow below follows the same pattern, with clear thresholds for when a human must step in.
Trigger
An event starts the workflow: a new document, a message, a transaction, an alert or a schedule.
AI does the legwork
Agents read, extract, check, match, research and draft, using live data from your systems.
A person decides
Anything regulated, risky or above a threshold goes to a named approver with the evidence ready.
Systems update
Records, tickets, ledgers and customers are updated automatically, and every step is logged.
01 · Banking & Financial Services
Modernise the core. Automate the compliance.
Banks, microfinance banks and fintechs carry the heaviest manual load in compliance, onboarding and legacy operations. These workflows take that load off your teams while keeping every regulated decision with a person.
BFS-01
AI-assisted core banking modernisation
Move off a legacy core product by product, without a risky big-bang cutover.
How it runs
- AI agents scan legacy code (COBOL, PL/SQL, stored procedures) and map every dependency, data flow and batch job.
- Business rules for interest, fees, limits and products are extracted into plain-language specifications.
- Approved rules are rebuilt as services on the new core or a modern API layer, one product at a time.
- AI generates regression tests from historic transactions, edge cases and regulatory scenarios.
- Old and new cores run in parallel while an agent reconciles balances and postings daily and explains every break.
Systems it connects
- Finacle
- Temenos T24 / Transact
- Oracle FLEXCUBE
- Mainframe & COBOL
- Kafka / event streams
Human checkpoint: Product owners sign off every extracted rule. Cutover happens only after reconciliation runs clean.
What we measure: Rules documented, test coverage, daily reconciliation breaks, months to cutover.
BFS-02
KYC and customer onboarding
Open low-risk accounts in minutes and send only the real risk to compliance.
How it runs
- Customer submits ID, selfie and proof of address through the app, web or WhatsApp.
- AI reads and validates the documents, checks they match and flags anything missing.
- BVN and NIN are verified automatically, with sanctions and PEP screening.
- A risk score is assigned. Low-risk customers are opened straight through in the core banking system.
- Medium and high-risk cases go to compliance with a pre-filled case summary and evidence.
Systems it connects
- BVN (NIBSS)
- NIN (NIMC)
- Sanctions & PEP lists
- Core banking
- CRM
Human checkpoint: Compliance officers decide every medium and high-risk case.
What we measure: Time to open an account, onboarding drop-off, manual review hours per application.
BFS-03
AML alert triage and investigation
Most monitoring alerts are false positives. Let an agent do the legwork on each one.
How it runs
- Transaction monitoring raises an alert.
- An agent gathers account history, counterparties, the KYC file and adverse media.
- The alert is scored against known typologies, with a written, auditable rationale.
- Clear false positives are queued for quick closure; suspicious activity is escalated with a drafted case narrative.
- The analyst reviews, decides and files the STR through goAML when needed.
Systems it connects
- Transaction monitoring
- Core banking
- Adverse media sources
- goAML / NFIU
- Case management
Human checkpoint: Analysts decide every escalation and every STR. Closures are sampled for quality assurance.
What we measure: Review time per alert, alert backlog, quality of closure decisions.
BFS-04
Loan origination and pre-underwriting
Underwriters spend their time on judgement, not on reading bank statements.
How it runs
- An application arrives with bank statements, payslips or company financials.
- AI reads the statements, categorises income and spending and calculates affordability ratios.
- Credit bureau reports are pulled and checked against what the applicant declared.
- Inconsistencies and fraud signals are flagged.
- An underwriting memo with a recommendation is prepared and the loan system is pre-filled.
Systems it connects
- Loan origination system
- CRC / FirstCentral credit bureaus
- Open banking & statement APIs
- Core banking
Human checkpoint: A credit officer makes every lending decision.
What we measure: Application-to-decision time, applications per underwriter, performance by score band.
BFS-05
Disputes, failed transfers and chargebacks
Resolve the most common customer complaints before they become escalations.
How it runs
- A complaint arrives through the app, WhatsApp, email or a branch.
- AI classifies it (failed transfer, ATM, card dispute, suspected fraud) and finds the transaction in core and switch logs.
- Where rules allow, reversals are processed automatically; otherwise the dispute is raised with NIBSS or the card scheme.
- The customer gets proactive status updates until the case is closed.
Systems it connects
- Core banking
- Switch / NIP logs
- Card management
- WhatsApp Business API
- Complaints system
Human checkpoint: Refunds above a set limit and all fraud claims are approved by operations staff.
What we measure: Resolution time, SLA breaches, complaints escalated to the regulator.
02 · Enterprise System Integration
Your systems, finally talking to each other.
Most enterprise work is people copying data between systems that were never designed to connect. We connect them with APIs, event streams and AI agents, and give your agents safe, permissioned access to the data they need.
INT-01
Order-to-cash across CRM and ERP
From a closed deal to cash in the bank without anyone re-keying an order.
How it runs
- A deal is marked won in the CRM.
- An agent validates the customer, pricing and credit limit in the ERP.
- The sales order and invoice are created automatically.
- Payment status flows back from the payment gateway and ERP into the CRM.
- Exceptions such as pricing mismatches or credit holds go to finance in Teams or Slack with context.
Systems it connects
- Salesforce / HubSpot / Zoho
- SAP / Dynamics 365 / NetSuite
- Paystack / Flutterwave
- Teams / Slack
Human checkpoint: Finance approves credit-limit overrides and non-standard pricing.
What we measure: Order cycle time, re-keying errors, days sales outstanding.
INT-02
Secure AI agent gateway (MCP) to enterprise data
Let staff and AI agents query live business systems, with the access controls your security team expects.
How it runs
- Approved data and actions from ERP, CRM, HR and databases are exposed as MCP servers and APIs.
- Role-based permissions limit what each agent can read or change; credentials never reach the model.
- Staff ask questions in Teams, Slack or the intranet and the agent answers from live systems.
- Any write action, such as updating a record, requires approval.
- Every query and action is logged for audit.
Systems it connects
- Model Context Protocol (MCP)
- ERP & CRM
- Data warehouse
- Microsoft 365 / Google Workspace
- Identity provider
Human checkpoint: Security owns the permission policies. Write actions need a named approver.
What we measure: Time to answer, ad-hoc report requests to analysts, completeness of access logs.
INT-03
API enablement for legacy systems
Give systems without APIs a modern interface so automation can reach them.
How it runs
- We inventory screens, databases and batch files used by the legacy system.
- An API layer is built with database adapters and file watchers, using RPA only where nothing else works.
- Changes are published as events so other systems react in near real time.
- AI agents and modern apps use the new APIs instead of manual exports.
- Integrations are monitored with retries, alerts and dashboards.
Systems it connects
- Legacy desktop apps
- Oracle / SQL Server
- SFTP batch files
- RPA
- Kafka / message queues
Human checkpoint: System owners sign off data mappings. Failed syncs alert the operations team.
What we measure: Manual exports removed, data latency, integration incidents.
INT-04
Cross-system escalation orchestration
When a key customer has a problem, everyone who needs to act knows in minutes.
How it runs
- A priority issue is detected from a ticket, an email or a monitoring alert.
- The agent pulls CRM history, the contract SLA and related open tickets.
- An engineering ticket is created in Jira with full context and reproduction details.
- The account owner and leadership are notified in Slack or Teams.
- Progress is tracked to resolution, the CRM is updated and a customer update is drafted.
Systems it connects
- CRM
- Jira
- Zendesk / Freshdesk
- Slack / Teams
- Contract repository
Human checkpoint: The account manager approves every customer-facing message.
What we measure: Time to escalate, SLA compliance, retention of escalated accounts.
03 · Finance & Back Office
Close faster. Pay accurately. Prove it to auditors.
Finance teams lose days to matching, chasing and explaining. These workflows automate the matching and the first draft of the explanation, and leave approvals with your controllers.
FIN-01
Invoice-to-pay with three-way matching
Supplier invoices processed in any format, matched and ready for payment.
How it runs
- Invoices arrive by email, portal or scan, in any layout.
- AI extracts header and line-item data and checks for duplicates.
- Each invoice is matched to its purchase order and goods receipt in the ERP.
- Clean invoices are posted for payment; mismatches go to the buyer with the reason explained.
- Routine supplier questions about payment status are answered automatically.
Systems it connects
- Email & supplier portals
- SAP / Dynamics 365 / Sage
- Banking portal
- Document store
Human checkpoint: Mismatches over tolerance and new suppliers are approved by finance.
What we measure: Cost per invoice, touchless processing rate, late-payment penalties.
FIN-02
Bank, gateway and intercompany reconciliation
Daily reconciliation that handles messy references and split payments.
How it runs
- Bank statements, the general ledger and payment-gateway settlements are pulled every day.
- AI matches transactions, including fuzzy references and partial or split payments.
- Unmatched items are investigated and evidence is attached.
- Proposed adjusting journals are drafted for review.
Systems it connects
- Bank APIs & statements
- General ledger
- Paystack / Flutterwave / Interswitch settlements
- ERP
Human checkpoint: The financial controller approves every adjusting entry.
What we measure: Analyst hours per exception, age of unreconciled items, days to close.
FIN-03
Month-end close and variance commentary
A close checklist that chases itself and a first draft of the management commentary.
How it runs
- The agent runs the close checklist and reminds owners of outstanding tasks.
- Actuals are compared with budget and prior periods.
- Material variances are linked to operational data such as volumes, prices and headcount.
- Draft management commentary and board-pack tables are produced.
Systems it connects
- ERP / general ledger
- Power BI / Looker
- Excel / Google Sheets
- Teams / Slack
Human checkpoint: FP&A reviews, edits and signs off all commentary.
What we measure: Days to close, hours spent preparing commentary.
FIN-04
Contract and obligation extraction
Know every renewal date, payment term and risky clause across your contracts.
How it runs
- Contracts are uploaded or picked up from shared drives.
- AI extracts parties, dates, payment terms, renewals, SLAs and liability caps.
- Clauses are compared with your approved templates and deviations are flagged.
- Obligations and renewal dates are pushed to the contract system and calendars, with reminders.
Systems it connects
- SharePoint / Google Drive
- Contract management system
- ERP
- Calendar
Human checkpoint: Legal reviews every flagged clause.
What we measure: Review time per contract, missed renewals, revenue leakage.
04 · Insurance
Claims and underwriting without the paper chase.
Insurers and brokers process large volumes of documents, photos and emails. AI can read, check and route them, so adjusters and underwriters work only on the cases that need their expertise.
INS-01
Claims intake, validation and fast-track
From first notice of loss to a decision-ready file, automatically.
How it runs
- A claim arrives through WhatsApp, the web or email with photos, reports and receipts.
- AI extracts the claim details and checks cover, limits and excesses in the policy system.
- Fraud indicators such as duplicate claims, inconsistent dates or reused images are flagged.
- Simple, low-value claims are fast-tracked for settlement.
- Complex claims are prepared for an adjuster with a summary and missing-information list.
Systems it connects
- Policy administration system
- Claims system
- WhatsApp Business API
- Payments
Human checkpoint: Adjusters decide all complex or flagged claims. Payouts above a limit need approval.
What we measure: Claim cycle time, adjuster hours per claim, claims leakage.
INS-02
Underwriting submission triage
Turn messy broker submissions into clean, prioritised risks.
How it runs
- Broker submissions arrive as emails, slips and spreadsheets.
- AI extracts and normalises the risk data into one structure.
- The risk is enriched with historic loss data and checked against your appetite.
- A risk summary is prepared and the submission is routed to the right underwriter by priority.
Systems it connects
- Underwriting workbench
- Policy administration system
- Data warehouse
Human checkpoint: Underwriters price and bind every risk.
What we measure: Submission-to-quote time, quote rate, submissions per underwriter.
INS-03
Policy wording and regulatory compliance review
Check policy documents against regulations and your own standards in hours, not weeks.
How it runs
- Policy wordings and endorsements are compared with NAICOM guidelines and internal standards.
- Gaps and conflicting clauses are flagged with references.
- An evidence pack and audit trail are prepared for compliance and auditors.
- Issues are routed to the right owner with deadlines.
Systems it connects
- Document management
- Policy administration system
- Regulatory library
- Workflow tool
Human checkpoint: Compliance confirms every finding before it is actioned.
What we measure: Review hours per policy, audit preparation time.
05 · Customer Operations
Faster answers on every channel, people for the hard cases.
Customers expect answers on WhatsApp at midnight. AI agents can resolve routine requests using live account data and hand everything else to your team with the context already gathered.
CX-01
Omnichannel support triage and resolution
One agent across WhatsApp, email and web chat, connected to real account data.
How it runs
- A message arrives on WhatsApp, email or web chat.
- AI identifies the customer, the intent, the urgency and the sentiment.
- Order, account or policy data is pulled from your systems.
- Routine requests such as status checks, statements and resets are resolved instantly.
- Everything else goes to a person with a summary and a suggested reply.
Systems it connects
- WhatsApp Business API
- Zendesk / Freshdesk
- CRM
- Core business systems
Human checkpoint: Refunds, complaints and sensitive account changes are handled by staff.
What we measure: First-response time, self-service rate, cost per contact, CSAT.
CX-02
Collections and payment reminders
Recover more with respectful, well-timed outreach and flexible payment plans.
How it runs
- Overdue accounts are segmented by risk and payment behaviour.
- Personalised reminders go out by SMS, WhatsApp or email at the right time.
- Customers can agree payment plans with the agent, within rules you set.
- Promises to pay are tracked and broken promises are escalated.
Systems it connects
- Loan / billing system
- SMS & WhatsApp gateways
- Payment links
- CRM
Human checkpoint: Hardship cases and settlements outside policy go to a person.
What we measure: Recovery rate, days past due, cost to collect.
CX-03
Lead qualification and CRM hygiene
Every inbound lead researched, scored and routed, and a CRM your team can trust.
How it runs
- Leads arrive from the website, forms, events and ads.
- Each lead is enriched with company and role data and scored against your ideal customer profile.
- Qualified leads are routed to the right rep with a short briefing.
- Calls, emails and meeting notes are logged to the CRM automatically, with next steps created.
Systems it connects
- Website & forms
- HubSpot / Salesforce / Zoho
- Email & calendar
- Enrichment data
Human checkpoint: Sales reps own every outbound commitment and proposal.
What we measure: Speed to lead, CRM completeness, lead-to-meeting conversion.
06 · IT, HR & Engineering
Internal operations that run themselves.
Service desks, onboarding and incident response are high-volume, rules-driven and perfect for agents that can act inside your identity, ITSM and engineering tools.
OPS-01
IT service desk agent
Resolve common IT requests instantly, inside the tools staff already use.
How it runs
- A request comes in through Teams, Slack, email or the portal.
- The agent classifies it and checks the knowledge base.
- Common requests such as password resets, access and software installs are fulfilled automatically.
- Anything else is escalated with diagnostics already collected.
Systems it connects
- ServiceNow / Jira Service Management
- Microsoft Entra ID / Okta
- Intune
- Teams / Slack
Human checkpoint: Privileged access requires manager and IT approval.
What we measure: Mean time to resolve, tickets resolved automatically, first-line workload.
OPS-02
Employee onboarding and offboarding
Day-one ready new hires and same-day access removal for leavers.
How it runs
- A new hire or leaver is recorded in the HR system.
- Accounts, licences, devices and group memberships are provisioned or revoked.
- An onboarding plan, policies and introductions are sent to the new hire and manager.
- Checklists are tracked and overdue items are chased.
Systems it connects
- SeamlessHR / BambooHR / Workday
- Entra ID / Google Workspace
- Payroll
- Slack / Teams
Human checkpoint: Managers confirm role-based access before it is granted.
What we measure: Time to productivity, orphaned accounts, IT hours per hire.
OPS-03
Incident and build-failure triage
Root-cause hypotheses in minutes, not hours, for every alert or failed pipeline.
How it runs
- A production alert fires or a CI build fails.
- The agent correlates it with recent deploys, commits, logs and past incidents.
- Likely root causes are ranked with supporting evidence.
- A ticket with reproduction steps is opened and the right owner is paged.
- A draft post-incident report is prepared.
Systems it connects
- GitHub / GitLab
- CI/CD pipelines
- Datadog / Grafana
- PagerDuty / Opsgenie
- Jira
Human checkpoint: Engineers approve every rollback and fix.
What we measure: Mean time to detect and resolve, on-call hours.
OPS-04
Enterprise knowledge assistant
Instant, cited answers from your policies, procedures and documentation.
How it runs
- Policies, SOPs, product documents and past tickets are indexed, respecting existing permissions.
- Staff ask questions in Teams, Slack or the intranet.
- Answers come with citations to the source documents.
- Outdated or conflicting documents are flagged to their owners.
Systems it connects
- SharePoint / Confluence
- Google Drive
- Ticket history
- Teams / Slack
Human checkpoint: Content owners approve changes to source documents.
What we measure: Time spent searching, repeat questions to experts.
Governance
Automation your risk team can sign off.
Before anything goes live we test the AI on your own historic cases, run it in shadow mode beside your team and agree the numbers it must hit.
Human-in-the-loop by design
Approval thresholds, escalation paths and four-eyes checks are part of the workflow, not an afterthought.
A full audit trail
Every input, AI output, decision and system change is logged and explainable to auditors and regulators.
Least-privilege access
Agents only reach the data and actions they need. Credentials stay in your vault, never in the model.
Your data, your rules
In-country or private-cloud hosting options, with data handling designed around the NDPA 2023 and GDPR.
Don’t see your process?
If it’s repetitive, rules-based or document-heavy, we can probably automate it.
Book an automation audit. We’ll map one process with your team, estimate the hours and cost it could save, and show you what the automated version looks like before you commit to a build.