Forward Deployed Engineer
The agent handles first-line setup, then hands architecture calls to your engineer.
We engineer AI systems that think, act & scale.
We pair certified AI engineers with GenAI consultants to build agentic, governed, auditable systems, fast enough for the roadmap your business actually needs.
Prototype to Platform
Most enterprises can produce an AI proof of concept. Far fewer get one into production: the gap is the engineering talent to integrate it, govern the data, and keep it accurate. We close that gap, and stay through the handoff.
- Prototype
We validate the use case fast, proving it out against your real data before you commit engineering budget.
- Engineer
Certified AI engineers build the production system, integrated with your legacy stack, not a standalone demo.
- Govern
Every model and agent ships with auditable retraining pipelines and human-in-the-loop checkpoints your compliance team can review.
- Scale
We stay embedded through rollout and tuning as usage grows, so accuracy holds as conditions shift.
Our Capabilities
Using Agentic AI to Reimagine Enterprise Workflows & Services
Every capability here ties back to how we deliver — prototype fast, engineer for your stack, govern by design, and stay embedded as you scale.
Tier-1 Support / Service Desk
The agent triages routine tickets around the clock, escalating anything that needs empathy.
Business & Data Analyst
The agent pulls and summarizes data into a ready-to-review report for your analyst.
Sales Development Rep
The agent qualifies leads and books the first meeting; your rep steps in already briefed.
SOC / Security Analyst (Tier 1)
The agent triages alerts continuously, surfacing only incidents that need a human decision.
QA / Test Engineer
The agent runs regression suites and flags anomalies before a human reviewer decides what ships.
Technical Recruiter / Sourcer
The agent screens resumes and runs first-pass assessments, handing your recruiter a shortlist.
Cloud Operations Engineer
The agent auto-fixes routine incidents, looping in your engineer when needed.
What’s New
Articles, News & Insights
Connecting consulting to growth & impact, bringing together news, insights, articles, and decisions that shape the future.
AI Agents
Enterprise AI Agent Architecture: 7 Requirements for Production Ready AI Agents
Moving AI agents from pilot to production requires more than a capable model. Explore seven architecture requirements for reliable, secure and scalable enterprise AI agents.
AI
Enterprise AI Roles and Responsibilities: Who Owns AI After Deployment?
Learn how to define enterprise AI roles and responsibilities after deployment, including ownership across business, technology, data, risk, security and operations.
AI + SAP
SAP S/4HANA + AI: Where AI Belongs During Modernisation and Where It Doesn’t
Explore where AI can add value during SAP S/4HANA modernisation, where it should wait, and how to prioritise AI without adding unnecessary complexity.
Frequently asked questions
Everything you need to know about FWC's ai engineering, consulting, and deployment practices
Most organizations can produce a proof of concept. Getting one into production means integrating it with real systems, governing the data behind it, and keeping it accurate as conditions change — the Prototype → Engineer → Govern → Scale process we carry every deployment through.
FWC delivers agentic AI across Fintech, Banking & Finance, Healthcare, Manufacturing, Retail & E-Commerce, and Telecommunications, among other sectors — see our Industries pages for how each is applied in that vertical's own context.
Every model and agent we ship includes auditable retraining pipelines and human-in-the-loop checkpoints your compliance team can review, along with access controls that keep agents inside the permissions you already define.
No — we build agentic AI to take on the repeatable parts of a role, like first-line ticket triage or lead qualification, so your team spends its time on the judgment calls and relationships that still need a person.
Six core capabilities — hybrid orchestration, enterprise knowledge integration, pre-production simulation, governance guardrails, continuous monitoring, and multi-department deployment — each tied to how we deliver, from first prototype through governed production.
Most organizations can produce a proof of concept. Getting one into production means integrating it with real systems, governing the data behind it, and keeping it accurate as conditions change — the Prototype → Engineer → Govern → Scale process we carry every deployment through.
FWC delivers agentic AI across Fintech, Banking & Finance, Healthcare, Manufacturing, Retail & E-Commerce, and Telecommunications, among other sectors — see our Industries pages for how each is applied in that vertical's own context.
Every model and agent we ship includes auditable retraining pipelines and human-in-the-loop checkpoints your compliance team can review, along with access controls that keep agents inside the permissions you already define.
No — we build agentic AI to take on the repeatable parts of a role, like first-line ticket triage or lead qualification, so your team spends its time on the judgment calls and relationships that still need a person.
Six core capabilities — hybrid orchestration, enterprise knowledge integration, pre-production simulation, governance guardrails, continuous monitoring, and multi-department deployment — each tied to how we deliver, from first prototype through governed production.
Let’s Start Engineering
Success & Impact
Together.
Let’s turn business challenges into opportunities.