FC Tech AI

FC Tech AI

Enterprise AI capabilities that make each client engagement faster, clearer, and more reliable.

FC Tech AI supports the people running sales, talent delivery, and managed teams with intelligent preparation, targeted insight, and accountable review.

Built for better delivery

Qualified leads

Relevant response, ready fast

Talent matching

Shortlists supported by evidence

Delivery visibility

Risks surfaced before they grow

Client communication

Progress made clear and consistent

15 min

target first response for qualified leads

2 days

resume-to-recommendation cycle

10 min

client report drafting time

90%+

target AI task accuracy

AI capabilities

Intelligence across the full client journey.

From the first enquiry to the final report, FC Tech AI gives specialists the context, speed, and control to deliver at a consistently high standard.

Win

Lead intelligence

Give every qualified prospect a fast, relevant first response—without losing the judgement of your sales team.

  • Qualifies leads using company profile, service need, urgency, and budget signals
  • Prepares personalised English responses and follow-up context
  • Drafts proposals from approved deal knowledge and proven delivery models
Match

Talent intelligence

Turn a broad candidate pool into a shortlist your client can confidently review.

  • Reads resumes into structured skills, experience, English, and compensation profiles
  • Scores fit against the role and surfaces evidence behind every recommendation
  • Matches candidates against availability, timezone, salary, and role requirements
Deliver

Delivery intelligence

Make distributed delivery easier to run, inspect, and communicate before small issues become client risks.

  • Summarises standups, progress, blockers, and delivery signals in one operating view
  • Creates polished weekly client updates from verified project activity
  • Flags risk early: delayed tasks, blocked work, low activity, and negative sentiment
Assure

Quality intelligence

Build quality into the operating rhythm with targeted review, sampling, and feedback loops.

  • Pre-checks outputs and directs human attention to work that needs it most
  • Samples AI-assisted work to measure accuracy and strengthen the process over time
  • Keeps review outcomes visible for team coaching and client assurance
Run

Operations automation

Remove avoidable friction from the documents, invoicing, and knowledge work surrounding every engagement.

  • Prepares contracts and talent agreements from approved terms and templates
  • Supports multi-currency invoicing and reconciliation anomaly checks
  • Makes internal delivery knowledge available when teams need answers
Orchestrate

Guided workflows

Standardise how important work moves from request to reviewed outcome across every client engagement.

  • Starts the right operational playbook when a lead, JD, milestone, or schedule calls for it
  • Routes work, context, and approvals to the person best placed to make the decision
  • Keeps every team aligned on status, next action, and exception handling
System architecture

One operating platform. Seven AI modules.

FC Tech AI lives inside the operations console as a visual workflow platform: five business loops orchestrated as AI workflows, a model gateway with controlled cost and audit, and human review at every decision point.

Select any component to see the capabilities behind it.

FC Tech Operations Console — Web

Human decision-makers stay in control — hiring, rejection and client-facing approval are never automated.

How it works in practice

Clearer decisions. Stronger delivery moments.

FC Tech AI brings the right information to the right specialist at the moment it can make the most difference.

Use case A

Talent delivery

A new role becomes a clear shortlist

When a client submits a job description, FC Tech AI does the time-consuming matching work before a recruiter makes the recommendation.

Starting point

A client submits a job description

Client-ready outcome

Five ranked candidates with clear matching rationale

  1. 1

    The role is read against the candidate pool and its non-negotiable requirements.

  2. 2

    The platform filters for availability, timezone, compensation, and core skills.

  3. 3

    It prepares ranked candidate cards with an assessment summary and matching evidence.

  4. 4

    A recruiter reviews the shortlist, adds judgement where needed, and sends it to the client.

Use case B

Managed delivery

A daily view that puts attention on risk

Instead of collecting updates across every managed team, delivery managers receive one clear picture of progress and exceptions.

Starting point

Daily team activity at 18:00

Client-ready outcome

A concise report that prioritises the risks needing action

  1. 1

    Project activity, task movement, code signals, and blockers are brought into one view.

  2. 2

    The platform produces a concise daily update and identifies abnormal patterns.

  3. 3

    The delivery manager focuses on the few exceptions that require intervention.

  4. 4

    Reviewed updates are retained for client reporting and continuous quality improvement.

Built for trust

Enterprise-grade control, always close to the work.

Professional AI is not only about what it can automate. It is about knowing where human expertise must lead, and making every important result easy to stand behind.

Human judgement remains decisive

AI prepares evidence and recommendations; people retain final responsibility for hiring, rejection, and client-facing decisions.

Sensitive data is protected by default

Candidate and commercial information is handled with privacy controls before it is used in AI-assisted work.

Every outcome is accountable

Generated work, reviewer decisions, and changes are retained so quality can be measured and improved.

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