STAGE 01Digitize› Collect
STAGE 02Digitalize› Connect
STAGE 03Automate› AI integration
STAGE 04AI-First› Optimize

Stage 03 · the leap from connected to automated

Auto·mate

Connect systems. Decide on data.

When data has been digitized and the pipes are in place, the next leap is automation — ERP, CRM and finance speak one language, workflows run without handoffs, and every decision draws on live numbers.

30%
less manual work
3.5×
faster month-end
8 wks
time-to-first-pilot
ERPCRMFinanceDashboardsAlertsRPA botsWORKFLOWorchestration
/ 01

You're at this stage
if you've said this.

01

Ops director

It's Monday at 9am and I still don't know what we sold over the weekend.

signalweekly data lag
02

CFO

Month-end takes 12 days. I trust the cash position only after week two.

signalmanual reconciliation
03

CEO / GM

My exec dashboard is a slide deck someone updates every Monday.

signaldecisions on stale data
04

Head of IT

Every new system adds another pipe. The middleware is held together with tape.

signalbrittle integrations
05

Sales ops

Reps re-enter the same customer in three systems. Quotes don't match invoices.

signalCRM ↔ ERP gap
/ 02

Five capabilities.
Mix and match.

Most engagements start with integration + one workflow, then expand. We size each capability to what your team actually needs to move from where you are today.

01 · core

System integration

Connect ERP, CRM, finance, e-commerce and ops with a clean middleware layer. Bi-directional sync, conflict resolution, and one source of truth for master data.

4–8 weeksintegration map · data model

02

Workflow & RPA

Replace manual handoffs — approvals, order routing, onboarding — with rule-based workflows and bots for legacy.

3–6 wksper workflow

03

Live dashboards

Role-based dashboards — exec P&L, ops floor, finance close — on top of your warehouse. Refresh on the schedule the decision needs.

2–4 wksper role

04

API design & governance

Versioned API layer your team and partners build against. Replace fragile point-to-point pipes with a clean contract.

4–10 wksspec · gateway · portal

05

Data quality & observability

Schema contracts, freshness monitoring, anomaly detection. So when the dashboard says something, you know whether to trust it.

ongoingtests · alerts · on-call
/ 03

Tool-agnostic.
We work with what you have.

We're certified on the major platforms but we don't push tools. We pick what fits your stack, team and budget — and we work with what you already have.

ERP & CRM

Systems of record

  • SAPS/4HANA
  • NetSuiteOracle
  • Dynamics 365Microsoft
  • Odooopen-source
  • SalesforceCRM
  • HubSpotCRM

RPA & Workflow

Doing the work

  • UiPathRPA
  • Power AutomateMicrosoft
  • n8nself-host
  • ZapierSaaS
  • Temporalworkflow
  • CamundaBPMN

BI & Analytics

Telling you what to do

  • Power BIMicrosoft
  • TableauSalesforce
  • LookerGoogle
  • Metabaseopen-source
  • dbtmodelling
  • Snowflakewarehouse

APIs & Integration

The connective tissue

  • Konggateway
  • MuleSoftiPaaS
  • WorkatoiPaaS
  • Apache Kafkastreaming
  • GraphQLfederation
  • OpenAPI 3spec
/ 04

Audit to live
in twelve weeks.

01

WK 1–3

Discovery

Map systems, score maturity, pick two workflows where automation pays back fastest.

02

WK 3–5

Architecture

Integration blueprint, data model, API contracts. Tool decisions signed off by all stakeholders.

03

WK 5–11

Build

Middleware up, first workflow in production, v1 dashboard live. Bi-weekly demos to actual users.

04

WK 11–13

Pilot

One team runs on the new system for two cycles. Measure cycle time, errors and adoption.

05

WK 13+

Scale

Roll out with training, runbooks and on-call. Hand off or stay on as managed service.

/ 05

Three companies.
What Automate looks like at scale.

Publicly reported transformations from companies you know. Different industries, same playbook: connect the systems, automate the workflows, decide on live data.

↑ Hours saved / year

1M+

work hours reclaimed across the bank through process automation.

DBS Bank
banking · Asia-Pac
2014–today

● CASE 01 · BANKING

DBS rebuilt itself as a tech company that happens to be a bank.

Starting in 2014, Singapore-headquartered DBS rebuilt its operating model around platform thinking — re-architecting core banking onto cloud, automating 250+ back-office processes, and integrating 30+ markets into one live data layer.

~90%infra on cloud
250+processes automated
30+markets connected
publicly reported · DBS annual reports · Harvard Business School case source

● CASE 02 · RETAIL

Walmart turned the world's largest store footprint into one live data system.

Walmart's Retail Link platform has connected store-level POS, inventory and supplier data for decades — extended over the last 10 years into real-time shelf-to-warehouse visibility and predictive replenishment across 10,000+ suppliers.

Real-timeshelf-to-warehouse view
10k+suppliers on Retail Link
$100B+annual e-commerce
publicly reported · Walmart corporate · industry press source

↑ Stores connected

10,500+

stores on one real-time inventory and supply-chain backbone.

Walmart
retail · global
ongoing

↑ Orders digital

~85%

of US sales placed through digital channels — all on one unified order spine.

Domino's Pizza
restaurants · global
2008–today

● CASE 03 · RESTAURANTS

Domino's became "a tech company that happens to sell pizza."

From 2008 onwards, Domino's rebuilt its ordering, kitchen and delivery flow as one integrated platform — 17+ ordering channels (app, web, voice, smart devices) all feeding one system, with real-time tracking from kitchen to doorstep.

17+ordering channels unified
AnyWareorder platform
Real-timekitchen → doorstep
publicly reported · Domino's investor communications · industry press source

/ 06 — Next step

Find out where you
actually are on the ladder. Then move.

Contact Senna Labs at :

hello@sennalabs.com999 Gaysorn Centre, Unit 5B-1 (523), 5th Floor, Phloen Chit Road, Lumphini, Pathum Wan, Bangkok 10330+66 62 389 4599
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