Solutions | Agentic AI
Automate the work rules-based tools cannot reach
We build Agentic AI systems on AWS for the work eating your team's time — document processing, underwriting, analysis, internal automation. If your workload's on another cloud, we migrate it first.
Book an Agentic AI discovery call
AWS Advanced Tier
AI Competency
Funding & credits for qualifying use casesWhy agentic AI projects stall before production
Most agentic AI conversations stall in the same place. The use case is clear, the appetite is there, the budget has been signed off.
The pilot won't scale
The team can't close the gap to production hosting, live integrations, monitoring, and the data permissions discussion that always arrives late.
FIX
We scope the production system from day one — not after the PoC is approved.
You're on the wrong cloud
You picked Heroku or Vercel three years ago and you've outgrown both. You need scale, AWS credits, and a Marketplace listing — and a clean migration that doesn't lose a week of trading.
FIX
We migrate first when AWS unlocks the services, funding and scale the build needs.
You're regulated, and it shows
Every agentic project re-opens the same security, governance and compliance debate. The same questions get asked in week two that should have been answered in session one.
FIX
We map the regulatory perimeter before the agentic architecture is built.
Two paths to production-ready agentic AI
Start with a named use case, or migrate first if AWS is the unlock. Every production system ships with telemetry, ROI measurement and a handover plan.
TRACK A – BUILD
Requirements, PoC & production build
Every build engagement runs three phases — PoC is the gate to production, and production includes the handover plan from day one.
Includes:
Output
PoC signed off by your technical lead before production begins.
TRACK B – MIGRATE
Current-state assessment, migration & modernisation
Every migration has a different unlock — scalability, Marketplace access, AWS credits, or the services the agentic build depends on.
Includes:
Output
Migration complete and verified before Track A begins.
SHARED LAYER – BOTH PATHS
Telemetry, measurement & next use case
Every production system ships with ROI instrumentation. Time saved per case, throughput uplift, decision-cycle reduction — wired in before go-live.
Includes:
Output
ROI instrumentation + next-use-case roadmap
What you get from the programme
Manual work, gone: Document review, analysis, triage or underwriting replaced by a trusted agentic system.
Measured payback: Time saved, throughput uplift and decision-cycle reduction tracked from day one.
A scaling platform: Built on AWS with Bedrock, AgentCore and Kiro, ready for the next use case.
Audit-ready: Security, governance and compliance built in from session one.
A PoC only matters if it has a path to production
We don't treat agentic AI as a notebook demo. Every build starts with the production system: integrations, permissions, telemetry, guardrails, handover and the business metric the agent is meant to move.
Agents work when the workflow is specific.
Every agentic build starts with a named manual workflow, clear data access, a production path and a measurable business outcome.
WHAT WE PRIORITISE
Telemetry
Time saved, throughput and decision cycle metrics
Guardrails
Human review, escalation and failure handling
Data access
Permissions, source systems and audit trail
Production path
PoC gate, live integrations and deployment plan
Agentic systems need control before scale.
In financial services, agents can speed up underwriting, analysis, document review and operational triage — but only if permissions, audit trails and human review are built in from the start.
WHAT WE PRIORITISE
- Decision traceability
- Human approval gates
- Data permissions
- Operational risk
- Audit trail
Automation only works when trust is built in.
Health tech agentic systems need to handle sensitive data, clinical context and operational workflows without creating hidden risk. We design for controlled access, human oversight and safe production use.
WHAT WE PRIORITISE
- Sensitive data access
- Clinical oversight
- Safe workflow boundaries
- Production monitoring
- Compliance evidence
Turn repeated internal work into scalable agentic workflows.
B2B SaaS teams often lose time in support triage, customer analysis, reporting, product feedback and growth operations. We build agents around specific workflows, then connect them to the systems and metrics that prove value.
WHAT WE PRIORITISE
- Named workflow
- System integrations
- Team adoption
- Measured outcome
- Next use case
Agents work when the workflow is specific.
Every agentic build starts with a named manual workflow, clear data access, a production path and a measurable business outcome.
WHAT WE PRIORITISE
Telemetry
Time saved, throughput and decision cycle metrics
Guardrails
Human review, escalation and failure handling
Data access
Permissions, source systems and audit trail
Production path
PoC gate, live integrations and deployment plan
Choose the right agentic AI engagement
Funded Build
You know the use case. We scope, build PoC, and ship to production. AWS-funded discovery for qualifying customers.
- Discovery and SoW in two weeks
- PoC in four to six weeks
- Production build to follow
Cost
Funding eligible
Duration
6–12 weeks
Migrate & Modernise
On another cloud. We get you onto AWS — like-for-like or modernised — then start the build with credits in place.
- Current-state assessment and migration plan
- Cutover — zero downtime, out-of-hours where needed
- Track A begins immediately on completion
Cost
AWS funding
Duration
4–10 weeks
Phased Build Programme
Multiple use cases, multiple quarters. Fixed-fee phase by phase, with the option to commit only after each gate.
- Use case prioritisation and sequencing
- Phase-by-phase delivery with gate reviews
- Co-funded where eligible
Cost
Fixed fee
Duration
~6 months
Related success stories
Funding Xchange (FXE)
Multi-agent underwriting on Amazon Bedrock AgentCore, referenced on the AWS Summit keynote stage.
Read more
Right Revenue
A prospect-research agent on Amazon Bedrock, shipped in a single AWS AI Accelerator build day.
Read more
Ready to turn manual work into a production AI agent?
Book a focused 20-minute conversation. We'll help you identify the use case worth building first, whether migration is the unlock, and what a PoC-to-production path looks like.
Why talk to us:
Named-use-case recommendations
PoC-to-production delivery
AWS-native architecture
Security, telemetry and handover from day one
Start with a focused 20-minute conversation about your goals — no pressure, no commitment.