Our process
The arc of AI adoption. Built in loops.
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.
Loop 01
Audit
Where are you now?
We map your organisation across four dimensions before making a single recommendation:
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?
Deliverable
AI Readiness Report + Opportunity Map
Timeline
5–10 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
Deliverable
AI Strategy + Implementation Roadmap + Board Presentation
Timeline
4–8 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.
Deliverable
Training completion report, skills assessment, capability recommendation
Timeline
2–8 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
Built to be yours — documentation, training, and exit from day one.
Full documentation
Team training on the delivered system
30-day post-go-live support
Complete handover — the system is yours
Then we loop back
After each cycle, the implementation surfaces new insights:
New AI use cases the organisation can now tackle
Data gaps the first cycle revealed
Team capability areas that need further development
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


Ready
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.