AI that makes your own team the most productive in the market
Agentic engineering for your developers and Kiro-powered tools for your ops, growth and exec teams. One playbook for every internal function — built on AWS.
The Challenge
Everyone's adopting AI for their customers. Almost no one is adopting it for themselves — and the internal leverage the board approved spend for never materialises. The ROI stays theoretical. The adoption stays patchy. The CFO starts asking questions.
Dev teams: tools without method
Copilots scattered across the team. No agreed playbook, no shared prompts, no SDLC redesign — everyone's using AI differently.
Fix
The productivity uplift isn't in the tool — it's in the method. Kiro + MCP + a redesigned build loop produces measurable lift in shipped story points per engineer per sprint.
Ops & growth: AI without workflow
AI gets dropped on top of existing processes instead of replacing them. The tool nobody opens. The prompt library nobody maintains.
Fix
Map the actual workflow and design the replacement, not the augmentation. The deliverable is a working tool used by named people, with the old workflow retired by a specific date.
Exec: dashboards without decisions
AI-generated summaries land every Monday. Nobody acts because the insight isn't actionable and there's no decision loop built in.
Fix
Design the tool around the decision, not the report. Wire in the data that makes that decision possible.
How We Deliver
Agentic Engineering for developers
Tech teamsRebuild the SDLC around agentic loops — from ticket to shipped code with Kiro, MCP-connected context agents, and Bedrock AgentCore.
- •Current SDLC audit — where the time actually goes
- •Kiro spec-driven build loop design and rollout
- •MCP server configuration for repo, docs, ticket context
- •Bedrock AgentCore for on-call triage and incident response
- •Adoption playbook — Awareness → Power-user → Champion
Output
Baseline story points per sprint measured. Target agreed before rollout.
Kiro Internal Tools for ops, growth & exec
Everyone elsePurpose-built internal apps for every non-engineering function — replacing spreadsheets, manual reporting, and shadow IT.
- •Workflow inventory — prioritised list of workflows to replace with baseline time and cost
- •Tool design per audience: ops (reconciliation), growth (enrichment), exec (briefing agents)
- •Build and deploy per tool — named user, retired predecessor, and ROI signal
- •Adoption plan — three-tier rollout with training and handover dates
Output
Workflow inventory signed off. Baseline measurements in place before build.
Adoption, measurement & next wave
StandingEach tool has its own ROI dashboard, baselined against the before-state. Quarterly reviews baked in. Once the first portfolio works, we know which workflows are next.
- •Per-tool ROI dashboards — time saved, output volume, adoption %, cost-per-run
- •Quarterly review: is it used, paying back, what's the next workflow
- •Cost and telemetry — Bedrock and AgentCore costs tagged per tool
- •Second-wave scoping — the compounding starts immediately
Output
Adoption targets hit before quarterly review closes. Next workflow identified.
What You Get
Real adoption: Named users, in their actual workflow, with the old way retired by a specific date. Not a tool in the wiki — a tool that replaced something real.
Measured payback: Per-tool ROI dashboards. Quarterly review baked in. The CFO has the number before they ask — and it's real because we baselined before we built.
A capability, not a vendor: Build-operate-transfer is the default. Your team owns every tool by handover. We build your internal AI capability and leave.
A second wave ready: Once the first portfolio works, we know which workflows are next. The compounding starts immediately — because measurement infrastructure is already in place.
Choose Your Engagement
Funded Discovery
Two-week discovery on your top three workflows. AWS-funded. Costed build proposal per workflow.
- • Top three workflow identification
- • Tool design per workflow
- • Build proposal with AWS funding
Cost
AWS-funded
Duration
2 weeks
Phased Programme
Full Discover → Build → Adopt for a portfolio of internal tools. Fixed-fee per phase. Co-funded by AWS where eligible.
- • Full workflow inventory across audiences
- • Tool build per phase — one audience at a time
- • Adoption plan with rollout and handover dates
- • Quarterly ROI review
Cost
Fixed-fee
Duration
~4 months
Build Sprint
You know exactly which tool you want. We build it. 1–6 engineers, build day or distributed sprint.
- • Spec agreed before build begins
- • Named user and retired predecessor
- • ROI dashboard included
Cost
AWS-funded
Duration
1–4 weeks
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Ready to make your team more productive with AI?
Let's identify your highest-ROI workflows and build tools that people actually use.
Why talk to us:
Outcome-driven recommendations
AWS-recognised delivery expertise
Risk-aware AI adoption
Clear next step, not a sales pitch
Start with a focused 20-minute conversation about your goals — no pressure, no commitment.