Core capability

Data, turned into decisions.

FCI's analytics practice delivers data & decision analytics end to end — strategy, engineering, analytics, AI, and the decision systems that put it all in front of the people making the call. Under one team, accelerated by Lattice, our own platform.

Data and decision analytics
See it live

The decision view, in real time.

The same operating picture we build for federal programs — portfolio scoring, live operational tempo, mission grids, and agent decision support, switchable in a single view.

Capital Portfolio · FY26
Backlog
$2.4B
↑ 247 projects scored
FY26 plan
$480M
89% envelope allocated
Risk-adj NPV
$1.32B
↑ 8.4% vs prior plan
Project Alpha
92.4 High
Project Bravo
86.8 High
Project Charlie
79.1 Med
Project Delta
67.5 Med
Project Echo
61.2 Med
Operational Tempo · Last 14 days
On-time rate
94.2%
↑ 1.4 pts vs 30-day
Queue depth
1,283
↓ 142 since yesterday
Avg cycle
4.2d
Within SLA band
Throughput SLA threshold
Mission Readiness · 12 districts
Readiness
87%
↑ 4.2 pts vs baseline
MTBF
240d
↑ 18d quarter-over-quarter
Districts at-risk
2
↓ from 5 last quarter
DC 94
VA 91
MD 88
NC 92
SC 85
GA 86
FL 82
AL 71
TN 90
KY 83
WV 62
PA 87
Agentic AI · Case Review
Records read
1,847
Documentum + SharePoint
Policies referenced
12
All M-24-10 aligned
Confidence
94%
Explainable · cited
CASE 2847-B Agent recommendation — awaiting human approval
Based on the case record and applicable policy, the agent recommends APPROVE with conditions. Primary driver: precedent case 2019-B-4421 with similar fact pattern. Conditions cite §5.3.2 of the FY24 program directive.
Record 1284-A · filed last quarter Policy 5.3.2 · current program directive Precedent 2019-B · approved with conditions
Services we deliver

End-to-end data & decision analytics. One practice.

FCI's analytics practice covers the full discipline — from data strategy through deployed decision systems. Customers come to us for any of these service lines, or for all of them under one engagement.

01 · Strategy

Data Strategy & Architecture

The plan for how data moves through the organization, where it lives, who owns it, and how it earns its keep.

Data strategy & target operating model Target-state data architecture Data governance frameworks Modernization roadmaps & phased delivery plans
02 · Foundation

Data Engineering & Platform Build

The pipelines, warehouses, and lakehouses everything else stands on — with quality and lineage you can defend.

Ingestion, CDC & streaming pipelines Lakehouse & warehouse builds (Snowflake, Databricks, BigQuery) Data quality, lineage & master data management Semantic layer & metric stores
03 · Visibility

Analytics & Business Intelligence

Dashboards and scorecards built around the questions leaders actually ask — and the self-service surface for everyone else.

Executive scorecards & KPI programs Operational dashboards (Power BI, Tableau, Looker, Qlik) Self-service analytics enablement Embedded analytics for operational apps
04 · Foresight

AI / ML Engineering & MLOps

Predictive models, classifiers, and agentic systems — productionized with the monitoring and re-training to keep them honest.

Forecasting & demand models Document & records classifiers (RAG, NLP) Agentic decision support systems MLOps, model monitoring & drift detection
05 · Decision

Decision Systems & Responsible AI

The workflows, human-in-the-loop controls, and audit trail that turn a model into a decision leadership can defend.

Decision workflow & review queue design Human-in-the-loop UX and approval flows Model cards, bias review & explainability programs Audit trails & defensibility documentation
06 · Modernization

Migration & Modernization

Moving legacy data estates onto modern platforms without losing audit lineage or compounding tech debt.

Cloud migration plans & cutover execution Legacy ECM / records modernization (Documentum, OpenText) Data warehouse consolidation Records re-certification & mandate alignment
Why FCI

What changes when our practice runs the engagement.

Plenty of firms can stand up a dashboard. Fewer can deliver the full lifecycle — strategy, build, deploy, govern — under one team, with their own platform behind it.

01

One delivery team, end to end.

Data engineering, analytics, AI, and decision systems delivered by the same people. No subcontractor chains, no handoffs that drop context at every boundary.

02

Decision-led, not data-led.

We start where the decision gets made — not where the data lives. The architecture follows the questions, not the other way around. Fewer dashboards no one uses.

04

Responsible AI baked in.

Model card, bias review, explainability, and human-in-the-loop ship with every model we put into production. Defensible by construction — not by binder.

The platform inside our engagements

FCI Lattice. Our IP. Your accelerator.

Every analytics engagement gets accelerated by FCI Lattice — our own visual workspace for composing data, models, and decision systems. It's how we shorten time to production and bake the governance in from day one, on every project we run.

Where We Work

Built around how decisions get made.

The same stack stands up portfolio scoring, financial performance, network analytics, and decision support — across enterprises, regulated industries, and federal programs operating at scale.

Logistics & Networks

Throughput, utilization, capital planning.

Network flow, facility load balancing, and route optimization — the layer that turns operations data into capital and staffing decisions.

Network flow Capital planning
Finance & PMO

Performance, spend, and execution analytics.

Budget execution, program scorecards, and spend analytics rolled into views leadership can act on — with drill-down to the line item.

Execution Performance
Records & Case

Records intelligence & case analytics.

Document classification, queue analytics, and case-load forecasting on top of the records environments the organization already runs.

Document AI Case forecasting
Reference Platforms

Opinionated. Platform-fluent.

FCI brings a point of view and a default stack — and delivers on whatever the customer already runs.

SnowflakeSnowflake
DatabricksDatabricks
AWSAWS
AzureAzure
Google CloudGoogle Cloud
BoomiBoomi
InformaticaInformatica
dbtdbt
Power BIPower BI
TableauTableau
QlikQlik
DataRobotDataRobot
Hugging FaceHugging Face
OpenAIOpenAI
AnthropicAnthropic
LangChainLangChain
How We Deliver

AI you can actually defend.

Every analytics and AI deliverable ships under FCI's Responsible AI Statement — with model documentation, bias review, explainability, and human-in-the-loop built into the engagement. Not a checklist. A working artifact for every model we put into production.

FCI Responsible AI StatementSigned at the practice-lead level
Model card — purpose, training data, limits, evaluation.
Bias review — pre-deployment and quarterly in production.
Explainability — every recommendation traceable to inputs.
Human-in-the-loop — humans approve consequential decisions.