You will get AI Discovery Sprint & ROI Roadmap
Rising Talent
Project details
A fast, fixed-price sprint to turn AI ideas into a measurable, buildable plan. In 7 days we map your top 2–3 use cases, quantify ROI, surface risks, and produce a 30-day implementation roadmap.
Nacelle.ai approach: evidence-by-design from day one—lineage, logs, and decision records that make stakeholders and auditors comfortable. We use a lightweight best-practice frame (ISO 27001/42001 alignment, AI TRiSM, model-risk prompts, data-quality gates) without enterprise bloat.
Evidence-based analysis: benchmark current KPIs, model value levers (conversion, cycle time, cost-to-serve), and validate feasibility against data readiness, access, and policy constraints.
Risk/outcomes mapping: identify data, security, bias, and change-management risks; pair each with controls, owner, and success metrics.
Deliverables: problem map, prioritized use-case canvas (2–3), ROI model & sensitivity, risk register with mitigations, and a 30-day build plan (milestones, resourcing, guardrails, handoff).
Nacelle.ai approach: evidence-by-design from day one—lineage, logs, and decision records that make stakeholders and auditors comfortable. We use a lightweight best-practice frame (ISO 27001/42001 alignment, AI TRiSM, model-risk prompts, data-quality gates) without enterprise bloat.
Evidence-based analysis: benchmark current KPIs, model value levers (conversion, cycle time, cost-to-serve), and validate feasibility against data readiness, access, and policy constraints.
Risk/outcomes mapping: identify data, security, bias, and change-management risks; pair each with controls, owner, and success metrics.
Deliverables: problem map, prioritized use-case canvas (2–3), ROI model & sensitivity, risk register with mitigations, and a 30-day build plan (milestones, resourcing, guardrails, handoff).
AI Development Type
Knowledge Representation, Recommendation SystemWhat's included $2,500
These options are included with the project scope.
$2,500
- Delivery Time 7 days
- Number of Revisions 2
Frequently asked questions
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DC
David C.
Jun 3, 2026
🔸 Project Manager for AI Automation — Manage Client Delivery at a Fast-Growing Agency
It was a pleasure working with Chieng. He has a wealth of knowledge and experience with agentic solutions and AI automations, and comes with an existing team of subcontractors he can work well with if extra capacity is required. He was proactive with ideas and was flexible and willing to work on adjacent tasks to help the business. I would gladly recommend Chieng to future employers.
About Chieng
AI Products | Agentic Automations | CRMs & ERPs | Pipelines | BI | GTM
100%
Job Success
Irving, United States - 9:57 pm local time
Fractional Head of AI Products & Agentic Automations for Startup-SMB–Mid-Market.
Provide AI agents, multi-CRM & ERP implementation & automations & BI copilots and data agents.
Outcomes: +10–25% win rate, -40–70% manual work, MVP ≤30 days.
Revenue Acceleration: Product market fit (PMF) to Go-To-Market (GTM) in ≤120 days.
Business Experience: Startup to IPO to M&A
I help founders and VPs ship auditable AI that pays for itself—fast. Ex-Global VP of Innovation (Blue Prism) and Head of Product at neuralapps.ai; led 300+ demos/pilots across regulated industries - healthcare, banking & financial services, oil & gas, and manufacturing. I design and deliver agentic apps, multi-CRM & ERP automations (Zoho | HubSpot | Salesforce | HighLevel | Oracle | SAP | Dynamic 365), and BI copilots with governance built in.
What I deliver:
• Agentic apps & chatbots: sales ops, support, BI copilots (Power BI, IBM Cognos, Looker, Tableu).
• Multi-CRM & ERP automation & Revenue Operations: leads→deals, routing, campaigns, commissions, social.
• Data pipelines & observability: Snowflake, SQL Server/Azure SQL, Redshift; lineage & logs.
• Risk & compliance: ISO 27001/42001-aligned guardrails, evidence-by-design.
Business outcomes:
• +10–25% qualified pipeline & win rate
• −40–70% manual effort
• 30-day MVPs with cost guardrails, runbooks, and handoff.
How I work:
Fixed-price milestones, clear SLAs, and measurable KPIs. I partner with SMB & mid-market teams needing enterprise-grade AI—without enterprise bloat.
Starter: 1-week discovery sprint to validate use cases, ROI, and a 30-day build plan.
Platforms (Hands-On & Architecture)
- ERP/Finance & Ops: Oracle Cloud ERP, NetSuite, PeopleSoft, SAP ECC / S/4HANA, Infor (CloudSuite/CSI), MRP
- CRM/RevOps/Service: Salesforce, Zoho CRM, Odoo, ServiceNow (ITSM/HRSD/CSM), Demand/LeadGen
Cloud & Data: AWS (EKS, Lambda, API GW, MSK, RDS/Aurora, DynamoDB, S3/Glue/Redshift), Azure (AKS, Functions, APIM, Event Hubs/Service Bus, Synapse, Purview), Postgres/SQL Server, Redis, MongoDB
Integration & APIs: REST/GraphQL/gRPC, Kafka/Event Hubs, iPaaS/ESB, outbox/inbox, saga orchestration, RPA
DevSecOps & Platform: Terraform/Bicep, Helm, GitHub Actions/Azure DevOps, GitOps (Argo/Flux), OPA/Gatekeeper, Trivy/Snyk, Vault/Key Vault, Prometheus/Grafana
AI & MLOps: RAG/Vector DBs, MLflow, feature stores, model risk, guardrails, prompt governance, observability
Steps for completing your project
After purchasing the project, send requirements so Chieng can start the project.
Delivery time starts when Chieng receives requirements from you.
Chieng works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Intake (Day 1–2): goals, context, data/tech inventory
Interviews & Mapping (Day 2–3): value stream + pain/impact analysis