Our process


The arc of AI adoption. Built in loops.

Most AI consulting firms sell a single service and walk away. Arcloops covers the full arc — structured so each step builds on the one before it.
Arcloops process and delivery in the room

How we work

We never advise before we understand. Every serious engagement starts with evidence of where you stand.

Most AI consulting firms sell a single service and walk away. Arcloops covers the full arc — and we structure the work so each step builds on the one before it.

The result: AI adoption that compounds. Not a pilot that stalls.

Four loops

Audit, Consult, Train, Build — each loop informs the next.

Enter where the evidence already exists. Most organisations start with Audit; others join at Consult, Train, or Build.

Loop 01

Audit

Where are you now?

We map your organisation across four dimensions before making a single recommendation:

  • Data infrastructure — What data do you have? Is it clean, accessible, and AI-ready?
  • Process readiness — Which workflows are good candidates for AI? Where does AI create real value?
  • Team capability — What's your team's current AI literacy? What training is needed?
  • Current AI footprint — What AI tools are already in use? What's working? What isn't?

DeliverableAI Readiness Report + Opportunity Map

Timeline5–10 business days

Loop 02

Consult

Where should you go?

Built on the audit findings, the consulting loop develops your strategy:

  • Use case prioritisation — which 3–5 opportunities to pursue first
  • Build vs. buy decisions — what to build with Arcloops, what to buy from a vendor, what to use off-the-shelf
  • Data strategy — what needs to change about your data infrastructure to make AI work
  • Roadmap — phased plan with milestones, resource requirements, and success metrics
  • Governance — what policies, oversight, and risk management the organisation needs

DeliverableAI Strategy + Implementation Roadmap + Board Presentation

Timeline4–8 weeks

Loop 03

Train

Can your team get there?

Strategy without capability is a document. The training loop builds the human side:

  • Executive AI literacy — leaders who can evaluate AI proposals and lead AI-adopting organisations
  • Manager AI fluency — department heads who can identify opportunities and brief internal teams
  • Practitioner AI skills — individual contributors trained on the specific tools their roles require
  • AI champions — internal change agents who sustain adoption after Arcloops leaves

Available in Bangla, English, or mixed format.

DeliverableTraining completion report, skills assessment, capability recommendation

Timeline2–8 weeks depending on scope

Loop 04

Build

We build what the strategy calls for.

The implementation loop delivers working AI into your organisation:

  • Workflow automation — high-volume manual processes automated with n8n, Make.com, or custom code
  • LLM integrations — OpenAI, Anthropic, Gemini embedded into your existing systems
  • AI agents — multi-step autonomous agents for complex, repeatable workflows
  • Data pipelines — infrastructure to make your data AI-ready at scale
  • Custom products — AI-native software built from scratch

Every build engagement includes

  • Full documentation
  • Team training on the delivered system
  • 30-day post-go-live support
  • Complete handover — the system is yours

Built to be yours — documentation, training, and exit from day one.

The arc continues

Then we loop back

After each cycle, the implementation surfaces new insights:

01

New AI use cases the organisation can now tackle

02

Data gaps the first cycle revealed

03

Team capability areas that need further development

04

Policy or governance updates required by what was built

That's where Loop 1 begins again — smarter, faster, with a team that now knows how to do this. This is the arc.

Process FAQ

Where does your organisation start?

We never advise before we understand. Every serious engagement starts with evidence of where you stand. If you're not sure, start with the audit. If you already know what you want to build, let's talk about the build.