AI Agent MVP: Automate WorkflowsCheikh Diakite
If it can't take real actions in your systems, it's just a chatbot. I build production-ready AI agents that do work: access your docs, call your APIs, follow your business rules, and log every decision—with guardrails, audit trails, and zero data leaks. Built for entrepreneurs who need AI to handle repetitive workflows (lead qualification, customer support, data extraction) without hiring a team or risking compliance nightmares.Deliverables
AI Agent Blueprint (Scope + Guardrails)
Clear v1 spec: use case, inputs/outputs, escalation rules, tone, permissions, and success metrics.
Production AI Agent (Tools + Knowledge)
Working agent with structured prompts, tool-calling, memory, and RAG (answers from your docs, not public models).
Integrations + Deployment + Handoff
Connects to your CRM, Slack, Stripe, etc. via APIs. Delivered with docs, setup guide, and handover walkthrough.
Ready to expand? From here, you can:
Build the full product (Full-Stack MVP service)
Add UI/UX design (developer-ready prototype)
Scale automation (additional workflows, new integrations)
FAQs
A real agent. It executes multi-step workflows, produces auditable outputs, and has safe-mode fallbacks when uncertain.
Strict RAG + access controls. Your data never trains public models. We follow data-minimization principles and align with your compliance requirements (GDPR, SOC 2, etc.).
We're model-agnostic. We select based on your cost, speed, and privacy needs—and can switch later without rewriting the entire system.
I'm Cheikh Diakite, AI engineer & tech entrepreneur with 14+ years building digital solutions. Co-founder & CEO of Amin Systems LLC, the company behind Diakitech (product engineering studio) and Cauriship (AI-powered business academy). Your tech consultant backed by a team that's delivered 250+ projects since 2017 for 100+ clients across Europe, North America, and Africa—strategic clarity with agency-grade execution when needed.
2-3 weeks for v1 (single workflow automation). We scope in 48h, build in sprints with weekly demos, and deploy with a 1-week stabilization window.
Yes, if designed for it. We can add feedback loops so the agent improves responses based on your corrections—without retraining the base model.
The 1-week stabilization window covers bugs and behavior adjustments. For new workflows, expanded integrations, or model upgrades, we offer retainer packages or project-based pricing.
Most clients do. Since we built the foundation, adding new workflows or integrations is fast and cost-effective. We know the system architecture and can scale it without rebuilding from scratch.
Yes. The agent can be deployed as a customer-facing chatbot while also executing backend workflows. We configure the interface (chat widget, Slack, Teams, API, or custom) based on your use case.
Yes, 100%. You own all code, prompts, configurations, and integrations. For custom AI projects (outside our fixed services), full code delivery is typically billed as an add-on. But since this is a turnkey service, everything is included—no surprises, no complications.
Portfolio credits aren't included automatically. That said, should you choose to feature a subtle "Powered by Diakitech" attribution on your interface, we're happy to extend a 5% discount in appreciation. This element is typically priced as a separate item in custom engagements—yet another detail we've streamlined within our turnkey offering. Regarding portfolio presentation: we may feature your AI agent in our case studies as standard industry practice to highlight our work, entirely separate from any attribution displayed on your live deployment.
Absolutely. Many clients start with one service to validate their core idea, then combine both for a complete solution. You can: Begin with AI Agent MVP to prove automation value, then add Full-Stack MVP for the user interface OR Start with Full-Stack MVP for the product experience, then integrate AI Agent for workflow automation. Since both are built by the same team using compatible architecture, integration is seamless—no rework, no compatibility issues. Pricing for combined projects is customized based on scope and timeline.
Example work
Starting at$2,990
Duration4 weeks
Tags
LangChain
N8N
Python
Zapier
AI Agent Designer
AI Agent Developer
AI Engineer
Service provided by
Cheikh Diakite proSaly, Senegal
- $5k+
- Earned
- 6
- Paid projects
- 5.00
- Rating
- 3
- Followers
AI Agent MVP: Automate WorkflowsCheikh Diakite
Starting at$2,990
Duration4 weeks
Tags
LangChain
N8N
Python
Zapier
AI Agent Designer
AI Agent Developer
AI Engineer
If it can't take real actions in your systems, it's just a chatbot. I build production-ready AI agents that do work: access your docs, call your APIs, follow your business rules, and log every decision—with guardrails, audit trails, and zero data leaks. Built for entrepreneurs who need AI to handle repetitive workflows (lead qualification, customer support, data extraction) without hiring a team or risking compliance nightmares.Deliverables
AI Agent Blueprint (Scope + Guardrails)
Clear v1 spec: use case, inputs/outputs, escalation rules, tone, permissions, and success metrics.
Production AI Agent (Tools + Knowledge)
Working agent with structured prompts, tool-calling, memory, and RAG (answers from your docs, not public models).
Integrations + Deployment + Handoff
Connects to your CRM, Slack, Stripe, etc. via APIs. Delivered with docs, setup guide, and handover walkthrough.
Ready to expand? From here, you can:
Build the full product (Full-Stack MVP service)
Add UI/UX design (developer-ready prototype)
Scale automation (additional workflows, new integrations)
FAQs
A real agent. It executes multi-step workflows, produces auditable outputs, and has safe-mode fallbacks when uncertain.
Strict RAG + access controls. Your data never trains public models. We follow data-minimization principles and align with your compliance requirements (GDPR, SOC 2, etc.).
We're model-agnostic. We select based on your cost, speed, and privacy needs—and can switch later without rewriting the entire system.
I'm Cheikh Diakite, AI engineer & tech entrepreneur with 14+ years building digital solutions. Co-founder & CEO of Amin Systems LLC, the company behind Diakitech (product engineering studio) and Cauriship (AI-powered business academy). Your tech consultant backed by a team that's delivered 250+ projects since 2017 for 100+ clients across Europe, North America, and Africa—strategic clarity with agency-grade execution when needed.
2-3 weeks for v1 (single workflow automation). We scope in 48h, build in sprints with weekly demos, and deploy with a 1-week stabilization window.
Yes, if designed for it. We can add feedback loops so the agent improves responses based on your corrections—without retraining the base model.
The 1-week stabilization window covers bugs and behavior adjustments. For new workflows, expanded integrations, or model upgrades, we offer retainer packages or project-based pricing.
Most clients do. Since we built the foundation, adding new workflows or integrations is fast and cost-effective. We know the system architecture and can scale it without rebuilding from scratch.
Yes. The agent can be deployed as a customer-facing chatbot while also executing backend workflows. We configure the interface (chat widget, Slack, Teams, API, or custom) based on your use case.
Yes, 100%. You own all code, prompts, configurations, and integrations. For custom AI projects (outside our fixed services), full code delivery is typically billed as an add-on. But since this is a turnkey service, everything is included—no surprises, no complications.
Portfolio credits aren't included automatically. That said, should you choose to feature a subtle "Powered by Diakitech" attribution on your interface, we're happy to extend a 5% discount in appreciation. This element is typically priced as a separate item in custom engagements—yet another detail we've streamlined within our turnkey offering. Regarding portfolio presentation: we may feature your AI agent in our case studies as standard industry practice to highlight our work, entirely separate from any attribution displayed on your live deployment.
Absolutely. Many clients start with one service to validate their core idea, then combine both for a complete solution. You can: Begin with AI Agent MVP to prove automation value, then add Full-Stack MVP for the user interface OR Start with Full-Stack MVP for the product experience, then integrate AI Agent for workflow automation. Since both are built by the same team using compatible architecture, integration is seamless—no rework, no compatibility issues. Pricing for combined projects is customized based on scope and timeline.
Example work
$2,990