Saxon Forward Deployed Engineering
Engineers, not just accelerators
Saxon’s forward deployed engineers work inside your team. They take AI accelerators, assistants and agents from pilot to production, against outcomes we agree with you in week one. Extract handwritten entries, check calculations against approved rules, and flag potential documentation exceptions for QA review.
Saxon Forward Deployed Engineering
Engineers, not just accelerators
Saxon’s forward deployed engineers work inside your team. They take AI accelerators, assistants and agents from pilot to production, against outcomes we agree with you in week one. Extract handwritten entries, check calculations against approved rules, and flag potential documentation exceptions for QA review.
Most AI Stalls in the Last Mile
The demo works. Production is a different job. Real data, real rules, real systems and real users all have to come together, and that last stretch is where most enterprise AI initiatives slow down.
Traditional Delivery vs Saxon FDE
Traditional Delivery
- Scoped from a fixed blueprint written upfront
- Consultants hand off a specification
- Success measured as delivered to spec
- Every project starts from a blank page
Saxon FDE
- Shaped week by week with your business users
- Engineers stay until it runs in production
- Success measured against agreed business outcomes
- Starts from proven Saxon accelerators and the AIssist platform
Why Enterprise AI Initiatives Stall
- Pilots that never reach production
- Data that isn't ready for AI
- Business rules no off-the-shelf tool understands
- Integrations across ERP, CRM and document systems
- Low adoption after go-live
The gap isn’t the technology. It’s the engineering that connects it to how your business actually works.
From first workshop to production, in four steps
In week one, we agree with your business sponsor on the outcome, how it will be measured, and what each side needs to provide.
Saxon FDE pod works alongside your business users and IT team, onsite and remote, to understand how the work is really done.
We configure Saxon accelerators and the AIssist platform on your data, rules and systems, and engineer what is specific to your business.
We take the solution through a production-readiness gate, measure it against the agreed outcome, and hand over to your team.
Outcomes, not hours. Every engagement starts with a signed outcome and ends with a measured result.
Packaged Engagements, Built on Proven Accelerators
Fixed scope, a clear outcome, and a defined timeline. Start with one, then expand.
About 3 weeks - get AIssist live for your first team, fast.
- Connect your first enterprise systems and document repositories
- Permission-aware enterprise search with cited answers
- A role-based assistant in Microsoft Teams
Outcome: A working AI assistant your team uses every week.
About 8 weeks - Take AI-assisted batch record review into your QA workflow.
- Validation rules built from your approved master batch records
- Extraction tuned on your historical records
- Exception workflow with QA disposition kept with your team
Outcome: Less routine checking, with every finding traceable.
6–8 weeks - Give one executive office answers in minutes, not days.
- Your priority business questions, defined with leadership
- Connected ERP, CRM and data platform sources
- Governed KPI definitions everyone agrees on
Outcome: Faster, traceable answers to the questions that matter.
Readiness assessment, then build - Give your AI the business context it needs to be trusted.
- Readiness assessment for one business domain
- Semantic model, business rules and ontology built for that domain
- Identity, governance and lineage built in
Outcome: AI answers grounded in governed business context.
6–10 weeks - Move AI agents from proof of concept to production.
- Evaluation suite and guardrails
- Human-in-the-loop steps where judgment matters
- Monitoring, cost controls and an operations runbook
Outcome: Agents your business can rely on, every day.
8–12 weeks - Get your data ready for AI on Databricks or Microsoft Fabric.
- AI-readiness assessment
- Governed, AI-ready data products for your priority use case
- Built to feed Saxon accelerators and agents
Outcome: A trusted data foundation for AI.
Embedded FDE Pod
Quarterly engagement
A standing Saxon team working through your AI backlog, quarter by quarter, against agreed outcomes. It works like an AI center of excellence without having to build one from scratch.
A small, senior team inside yours
Every engagement is led by one accountable FDE Lead and a pod sized to the job.
Meet your FDE pod
FDE Lead
Owns the outcome, your sponsor relationship and the key design decisions.
AI Engineer
Builds the assistants, agents, retrieval and guardrails.
Data Engineer
Connects your systems and gets your data ready for AI.
Forward Analyst
Sits with your business users, whether they are in QA, finance or supply chain, and turns their expertise into rules and tests.
Platform Architect
Covers security, identity and your cloud environment.
Why Saxon FDE
01
Start ahead, not from scratch
Our accelerators and the AIssist platform already do the repeatable work. Our engineers focus on what is unique to you.
02
Accountable for outcomes
We agree on a measurable outcome in week one and track it every week.
03
Your stack, your control
We build on your Microsoft, Databricks and Claude environments, inside your security and governance.
04
Built for regulated work
Human-in-the-loop controls, explainable findings and traceable activity, designed for pharma, manufacturing and financial services.
05
Global delivery
Teams across the USA, UAE, India and Singapore give you onsite presence where it matters and scale where it counts.
06
Every engagement makes the next one faster
What we build for you that can be reused feeds back into Saxon’s accelerators.
Frequently Asked Questions
A forward deployed engineer is a senior engineer who works directly with your business and IT teams to build and deploy a solution in your environment. They don't hand over a specification. They stay until the solution runs in production and delivers the agreed outcome.
Traditional consulting delivers to a fixed specification, and staff augmentation leaves you to manage the people and the result. Saxon FDE pods own an agreed business outcome and start from proven Saxon accelerators, so you reach production faster.
Most engagements build on them because that is what makes them fast. Packages such as Agent Production Assurance and AI Data Foundation Assurance can also work with your existing Microsoft, Databricks or Claude environment.
In week one we run a workshop with your sponsor to agree the outcome, how it will be measured, and what each side needs to provide. We review progress against it every week and measure the result at the production-readiness gate.
Most packages run between 3 and 12 weeks, depending on scope and data readiness. The Embedded FDE Pod runs quarter by quarter.
Alongside your team, onsite where it matters, with delivery support from Saxon teams in the USA, UAE, India and Singapore.
We build inside your environment, under your identity, access and governance policies. For regulated workflows such as batch record review, decisions stay with your qualified reviewers, and every finding is traceable.
We hand over to your team with documentation and a runbook. Ongoing support, expansion to new use cases, or a standing Embedded FDE Pod are all available.
Ready to take your AI to production?
Tell us the outcome you are after. We will scope the right package and the right pod in a single working session.