AWS-funded
From ambition to a AI roadmap
A 45-day joint engagement with DoiT and AWS. Turn a long list of AI ideas into 3-5 funded use cases on Bedrock AgentCore and Quick Suite.
the gap we close
Most AI portfolios are a wish list
Every team has ten AI ideas. The hard part is choosing. Which ones actually need an agent, and which are a workflow with a chatbot bolted on? Is the data ready? Will the business case survive the next budget review? We pair you with senior Forward Deployed Engineers and your AWS account team to score candidates against the Well-Architected Generative AI Lens, validate fit on AgentCore and Quick Suite, and hand back a 1-year roadmap your executives can fund.
How we deliver
AWS-funded for eligible customers. Two teams, one engagement. We're co-delivering the work so you get the right expertise at each phase.
DoiT brings
Senior Forward Deployed Engineers who've shipped agents on AWS. Use case scoring, readiness review, ROI modeling, reference architectures, and the platform selection memo.
AWS brings
Account team alignment, deep-dives on AgentCore and Quick Suite, Solutions Architect and GenAI Specialist support, and access to MAP and Strategic Partner Incentives where workloads qualify.
45 days, kickoff to readout
From AI ambition to a funded roadmap
Phased approach, scoped to your workload. Most teams go from kickoff to executive readout in roughly six weeks.
Discover and prioritize
Surface 5–10 candidates with business and engineering leaders. Shortlist 3 to 5.
Assess readiness
Data, architecture, security, and team gaps mapped to the Well-Architected GenAI Lens.
AI Readiness Assessment
Hands-on feasibility against AgentCore primitives and Quick Suite capabilities.
Build the business case
Cost today, projected value, payback, and NPV. A number the CFO can defend.
Joint executive readout
Decision-ready presentation delivered with your AWS account team and DoiT.
Funding programs mapped
MAP and Strategic Partner Incentives factored in where workloads qualify.
Two AWS platforms. One decision per use case.
We don't pick a platform up front. We let the use case decide. The shortlist usually splits across both.
Amazon Bedrock AgentCore
For custom agents and developer-led work. Modular primitives: Runtime, Memory, Identity, Gateway, Code Interpreter, Browser, and Observability. Framework-agnostic. Works with Strands, LangGraph, and CrewAI. Pick it for multi-agent orchestration, model flexibility, scoped credentials, and embedded deployment.
Amazon Quick Suite
For business users and broad rollouts. Quick Sight for BI, Quick Index for shared knowledge, Quick Research, Quick Flows and Quick Automate for no-code workflows across 1,000+ apps via MCP, plus custom agents in Quick spaces. Seat-based pricing for org-wide rollout.
meet your team
What are Forward Deployed Engineers?
Unlike support teams that respond to tickets or consulting firms that deliver reports and leave, Forward Deployed Engineers work alongside your engineers. They know your architecture, your business context, and your constraints.
For this engagement, they pair with your AWS account team for joint discovery, platform deep-dives, and the executive readout.
What you walk away with
Every engagement is scoped to your workload. Here's what teams typically leave the room with.
Prioritized use case portfolio
3 to 5 ranked use cases with business value, agent-fit score, and a 1-year roadmap.
Readiness and gap report
Data, architecture, governance, and org readiness mapped to the Well-Architected GenAI Lens with concrete next actions.
Reference architecture per use case
Target design on AgentCore or Quick Suite, including primitives, model choice, guardrails, observability, and cost model.
ROI and business case
Year-1 vs steady-state value, total investment, payback, NPV, sensitivity, and AWS funding programs where eligible.
Platform selection memo
AgentCore vs Quick Suite per use case, with the reasoning behind each call.
Executive readout
Decision-ready presentation jointly delivered with the AWS account team and DoiT.
Days from kickoff to readout
Prioritized use cases
Outcomes you can measure
A defensible shortlist
3 to 5 use cases your leadership team agrees are worth funding.
A platform decision per case
AgentCore or Quick Suite, with the why behind each call.
A roadmap, not a slide
1-year plan with sequencing, dependencies, and the readiness work that has to happen first.
A business case the CFO will sign
Payback, NPV, and sensitivity, with AWS funding programs factored in where they apply.
Let's scope your AWS AI Assessment?
Use cases and timeline, all the way through to readout.